feat(data): Add 6 more snowballing sources
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1. Adair, L., Bisgrove, E., Gultiano, S., & Guilkey, D. (2002). Effect of childbearing on Filipino women's work hours and earnings. Journal of Population Economics, 15 (4), 625-645. https://doi.org/10.1007/s001480100101.
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https://doi.org/10.1007/s001480100101
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2. Adda, J., Dustmann, C., & Stevens, K. (2017). The career costs of children. Journal of Political Economy, 125(2), 293-337. https://doi.org/10.1086/690952.
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https://doi.org/10.1086/690952
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3. Agüero, J. M., & Marks, M. S. (2008). Motherhood and Female Labor Force Participation: Evidence from Infertility Shocks. American Economic Review, 98 (2), 500-504. https://doi.org/10.1257/aer.98.2.500.
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https://doi.org/10.1257/aer.98.2.500
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4. Agüero, J. M., & Marks, M. S. (2011). Motherhood and female labor supply in the developing world: Evidence from infertility shocks. The Journal of Human Resources, 46(4), 800-826. https://doi.org/10.3368/jhr.46.4.800.
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https://doi.org/10.3368/jhr.46.4.800
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5. Ahn, N., & Mira, P. (2002). A note on the changing relationship between fertility and female employment rates in developed countries. Journal of Population Economics, 15(4), 667-682. https://doi.org/10.1007/s001480100078.
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https://doi.org/10.1007/s001480100078
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6. Akerlof, G. A., & Kranton, R. E. (2000). Economics and Identity*. Quarterly Journal of Economics, 115(3), 715-753. https://doi.org/10.1162/003355300554881.
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https://doi.org/10.1162/003355300554881
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7. Albrecht, J. W., Edin, P.-A., Sundström, M., & Vroman, S. B. (1999). Career interruptions and subsequent earnings: A reexamination using swedish data. The Journal of Human Resources, 34(2), 294-311. https://doi.org/10.2307/146347.
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https://doi.org/10.2307/146347
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8. Alderman, H., Chiappori, P.-A., Haddad, L., Hoddinott, J., & Kanbur, R. (1995). Unitary versus collective models of the household: is it time to shift the burden of proof? World Bank Research Observer, 10(1), 1-19. https://doi.org/10.1093/wbro/10.1.1.
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https://doi.org/10.1093/wbro/10.1.1
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9. Alesina, A., Giuliano, P., & Nunn, N. (2013). On the Origins of Gender Roles: Women and the Plough. Quarterly Journal of Economics, 128(2), 469-530.
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https://doi.org/10.1093/qje/qjt005
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10. Alkema, L., Raftery, A. E., Gerland, P., Clark, S. J., & Pelletier, F. (2012). Estimating trends in the total fertility rate with uncertainty using imperfect data: Examples from West Africa. Demographic Research, 26, 331-362. https://doi.org/10.4054/DemRes.2012.26.15.
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https://doi.org/10.4054/DemRes.2012.26.15
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11. Anderson, S., & Eswaran, M. (2009). What determines female autonomy? Evidence from Bangladesh. Journal of Development Economics, 90(2), 179-191. https://doi.org/10.1016/j.jdeveco.2008.10.004.
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https://doi.org/10.1016/j.jdeveco.2008.10.004
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12. Angrist, J. D., & Evans, W. N. (1998). Children and their parents' labor supply: Evidence from exogenous variation in family size. American Economic Review, 88 (3), 450-477. https://doi.org/10.1086/678983.
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https://doi.org/10.1086/678983
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13. Ardington, C., Menendez, A., & Mutevedzi, T. (2015). Early childbearing, human capital attainment, and mortality risk: Evidence from a longitudinal demographic surveillance area in rural kwazulu-natal, South Africa. Economic Development and Cultural Change, 63(2), 281-317. https://doi.org/10.1086/678983.
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https://doi.org/10.1086/678983
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14. Ashraf, N., Field, E., & Lee, J. (2014). Household bargaining and excess fertility: An experimental study in Zambia. American Economic Review, 104(7), 2210-2237. https://doi.org/10.1257/aer.104.7.2210.
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https://doi.org/10.1257/aer.104.7.2210
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15. Attanasio, O., Low, H., & Sánchez-Marcos, V. (2008). Explaining changes in female labor supply in a life-cycle model. American Economic Review, 98(4), 1517-1552. https://doi.org/10.1257/aer.98.4.1517.
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https://doi.org/10.1257/aer.98.4.1517
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16. Averett, S. L., Argys, L. M., Hoffman, S. D., Blau, F. D., & Winkler, A. E. (2017). Women, work, and family. Oxford University Press.
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17. Bailey, M. J. (2006). More power to the pill: The impact of contraceptive freedom on women's life cycle labor supply. The Quarterly Journal of Economics, 121(1), 289-320. https://doi.org/10.1093/qje/121.1.289.
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https://doi.org/10.1093/qje/121.1.289
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18. Bailey, M. J. (2013). Fifty years of family planning: new evidence on the long-run effects of increasing access to contraception. Brookings Papers on Economic Activity, 2013(1), 341-409. https://doi.org/10.1353/eca.2013.0001.
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https://doi.org/10.1353/eca.2013.0001
|
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19. Bailey, M. J., Hershbein, B., & Miller, A. R. (2012). The opt-in revolution? Contraception and the gender gap in wages. American Economic Journal: Applied Economics, 4(3), 225-254. https://doi.org/10.1257/app.4.3.225.
|
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https://doi.org/10.1257/app.4.3.225
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20. Baird, S., Chirwa, E., McIntosh, C., & Özler, B. (2015). What happens once the intervention ends? The medium-term impacts of a cash transfer pragramme in Malawi. 3ie Impact Evaluation Report, 27.
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https://doi.org/10.23846/ow2147
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21. Balbo, N., Billari, F. C., & Mills, M. (2013). Fertility in advanced societies: a review of research: la fécondité dans les sociétés avancées: Un examen des recherches. European Journal of Population/Revue europeenne de demographie, 29(1), 1-38. https://doi.org/10.1007/s10680-012-9277-y.
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https://doi.org/10.1007/s10680-012-9277-y
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22. Barigozzi, F., Cremer, H., & Roeder, K. (2018). Women's career choices, social norms and child care policies. Journal of Public Economics, 168, 162-173. https://doi.org/10.21203/rs.3.rs-113086/v1.
|
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https://doi.org/10.21203/rs.3.rs-113086/v1
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23. Barros, R. P., Olinto, P., Lunde, T., & Caralho, M. (2013). The impact of access to free childcare on women's labor market outcomes : evidence from a randomized trial in low-income neighborhoods of Rio de Janeiro. World Bank's Gender Impact Evaluation Database Washington, D.C. : World Bank Group.
|
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24. Becker, G. S., & Lewis, H. G. (1973). On the Interaction between the Quantity and Quality of Children. Journal of Political Economy, 81(2, Part 2), S279-S288. https://doi.org/10.1086/260166.
|
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https://doi.org/10.1086/260166
|
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25. Becker, G. S., & Tomes, N. (1976). Child endowments and the quantity and quality of children. Journal of Political Economy, 84(4, Part 2), S143-S162. https://doi.org/10.1086/260536.
|
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https://doi.org/10.1086/260536
|
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|
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26. Bhalotra, S., & Umana-Aponte, M. (2010). The Dynamics of Women's Labour Supply in Developing Countries. IDEAS Working Paper Series from RePEc.
|
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https://doi.org/10.2139/ssrn.1591706
|
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|
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27. Bhalotra, S., Venkataramani, A., & Walther, S. (2018). Fertility and labor market responses to reductions in mortality. IZA Discussion Paper, 11716. https://doi.org/10.2139/ssrn.3213304.
|
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https://doi.org/10.2139/ssrn.3213304
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28. Black, S. E., Devereux, P. J., & Salvanes, K. G. (2010). Small family, smart family?: Family Size and the IQ scores of young men. The Journal of Human Resources, 45 (1), 33-58. https://doi.org/10.3368/jhr.45.1.33.
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https://doi.org/10.3368/jhr.45.1.33
|
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29. Bloom, D. E., Canning, D., Fink, G., & Finlay, J. E. (2009). Fertility, female labor force participation, and the demographic dividend. Journal of Economic Growth, 14(2), 79-101. https://doi.org/10.1007/s10887-009-9039-9.
|
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https://doi.org/10.1007/s10887-009-9039-9
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30. Blundell, R., Costa Dias, M., Meghir, C., & Shaw, J. (2016). Female labor supply, human capital, and welfare reform. Econometrica, 84(5), 1705-1753. https://doi.org/10.3982/ecta11576.
|
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https://doi.org/10.3982/ECTA11576
|
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31. Bongaarts, J. (1994). The impact of population policies - Comment. Population and Development Review, 20(3), 616-620. https://doi.org/10.2307/2137604.
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https://doi.org/10.2307/2137604
|
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32. Bongaarts, J. (2008). Fertility transitions in developing countries: progress or stagnation? Studies in Family Planning, 39(2), 105-110. https://doi.org/10.1111/j.1728-4465.2008.00157.x.
|
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https://doi.org/10.1111/j.1728-4465.2008.00157.x
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33. Bongaarts, J. (2011). Can family planning programs reduce high desired family size in sub-Saharan Africa? IPSRH, 37(04), 209-216. https://doi.org/10.1363/3720911.
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https://doi.org/10.1363/3720911
|
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|
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34. Bongaarts, J., & Casterline, J. (2013). Fertility Transition: Is sub-Saharan Africa Different? Population and Development Review, 38(Suppl 1), 153-168. doi:10.1111/j.1728-4457.2013.00557.x.
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https://doi.org/10.1111/j.1728-4457.2013.00557.x
|
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35. Bongaarts, J., & Casterline, J. B. (2018). From fertility preferences to reproductive outcomes in the developing world: from fertility preferences to reproductive outcomes. Population and Development Review, 44(4), 793-809. https://doi.org/10.1111/padr.12197.
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https://doi.org/10.1111/padr.12197
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36. Boserup, E. (1970). Woman's role in economic development. London: Earthscan. Buvinic, M. (1998). The costs of adolescent childbearing: evidence from chile, barbados, Guatemala, and Mexico. Studies in Family Planning, 29(2), 201-209. https://doi.org/10.2307/172159.
|
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https://doi.org/10.2307/172159
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37. Cáceres-Delpiano, J. (2006). The impacts of family size on investment in child quality. The Journal of Human Resources, XLI(4), 738-754. https://doi.org/10.3368/jhr.XLI.4.738.
|
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https://doi.org/10.3368/jhr.XLI.4.738
|
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38. Cáceres-Delpiano, J. (2012). Can we still learn something from the relationship between fertility and mother's employment? evidence from developing countries. Demography, 49(1), 151-174. https://doi.org/10.1007/s13524-0110076-6.
|
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https://doi.org/10.1007/s13524-011-0076-6
|
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|
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39. Canning, D., & Schultz, T. P. (2012). The economic consequences of reproductive health and family planning. The Lancet, 380(9837), 165-171. https://doi.org/10.1016/S0140-6736(12)60827-7.
|
||||
https://doi.org/10.1016/S0140-6736(12)60827-7
|
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|
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40. Chakravarty, D. (2018). Lack of economic opportunities and persistence of child marriage in West Bengal. Indian Journal of Gender Studies, 25(2), 180-204. https://doi.org/10.1177/0971521518761430.
|
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https://doi.org/10.1177/0971521518761430
|
||||
|
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41. Clark, S., Kabiru, C. W., Laszlo, S., & Muthuri, S. (2019). The Impact of Childcare on Poor Urban Women's Economic Empowerment in Africa. Demography, 56(4), 1247-1272. https://doi.org/10.1007/s13524-019-00793-3.
|
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https://doi.org/10.1007/s13524-019-00793-3
|
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42. Clarke, D. (2018). Children and their parents: A review of fertility and causality. Journal of Economic Surveys, 32(2), 518-540. https://doi.org/10.1111/joes.12202.
|
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https://doi.org/10.1111/joes.12202
|
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|
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43. Corsi, D. J., Neuman, M., Finlay, J. E., & Subramanian, S. (2012). Demographic and health surveys: A profile. International Journal of Epidemiology, 41(6), 1602-1613. https://doi.org/10.1093/ije/dys184.
|
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https://doi.org/10.1093/ije/dys184
|
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|
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44. Cruces, G., & Galiani, S. (2007). Fertility and female labor supply in Latin America: New causal evidence. Labour Economics, 14(3), 565-573. https://doi.org/10.1016/j.labeco.2005.10.006.
|
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https://doi.org/10.1016/j.labeco.2005.10.006
|
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|
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45. Gupta, N. D., & Smith, N. (2002). Children and career interruptions: The family gap in Denmark. Economica, 69(276), 609-629. https://doi.org/10.1111/14680335.00303.
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https://doi.org/10.1111/1468-0335.00303
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46. de Jong, E., Smits, J., & Longwe, A. (2017). Estimating the causal effect of fertility on Women's employment in africa using twins. World Development, 90, 360-368. https://doi.org/10.1016/j.worlddev.2016.10.012.
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https://doi.org/10.1016/j.worlddev.2016.10.012
|
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47. Debpuur, C., Phillips, J. F., Jackson, E. F., Nazzar, A., Ngom, P., & Binka, F. N. (2002). The impact of the navrongo project on contraceptive knowledge and use, reproductive preferences, and fertility. Studies in Family Planning, 33(2), 141-164. https://doi.org/10.1111/j.1728-4465.2002.00141.x.
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https://doi.org/10.1111/j.1728-4465.2002.00141.x
|
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48. Desai, J., & Tarozzi, A. (2011). Microcredit, family planning programs, and contraceptive behavior: evidence from a field experiment in ethiopia. Demography, 48(2), 749-782. https://doi.org/10.1007/s13524-011-0029-0.
|
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https://doi.org/10.1007/s13524-011-0029-0
|
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|
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49. Doepke, M. (2015). Gary Becker on the quantity and quality of children. J. Dem. Econ., 81(1), 59-66. https://doi.org/10.1017/dem.2014.8.
|
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https://doi.org/10.1017/dem.2014.8
|
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50. Doepke, M., & Tertilt, M. (2019). Does female empowerment promote economic development? Journal of Economic Growth, 24(4), 309-343. https://doi.org/10.1007/s10887-019-09172-4.
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https://doi.org/10.1007/s10887-019-09172-4
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|
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51. Doss, C. (2013). Intrahousehold bargaining and resource allocation in developing countries. The World Bank Research Observer, 28(1), 52-78. https://doi.org/10.1093/wbro/lkt001.
|
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https://doi.org/10.1093/wbro/lkt001
|
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52. Duflo, E. (2012). Women empowerment and economic development. Journal of Economic Literature, 50(4), 1051-1079. https://doi.org/10.1257/jel.50.4.1051.
|
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https://doi.org/10.1257/jel.50.4.1051
|
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53. Duflo, E., & Udry, C. (2004). Intrahousehold resource allocation in Côte d'Ivoire: Social norms, separate accounts and consumption choices. National Bureau of Economic Research Working Paper Series, 10498.
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https://doi.org/10.3386/w10498
|
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54. Dunbar, G. R., Lewbel, A., & Pendakur, K. (2013). Children's resources in collective households: identification, estimation, and an application to child poverty in malawi. American Economic Review, 103(1), 438-471. https://doi.org/10.1257/aer.103.1.438.
|
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https://doi.org/10.1257/aer.103.1.438
|
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|
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55. Dunckel-Graglia, A. (2013). 'Pink transportation' in Mexico City: Reclaiming urban space through collective action against gender-based violence. Gender & Development, 21(2), 265-276. https://doi.org/10.1080/13552074.2013.802131.
|
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https://doi.org/10.1080/13552074.2013.802131
|
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|
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56. Dustmann, C., & Schönberg, U. (2012). Expansions in maternity leave coverage and children's long-term outcomes. American Economic Journal: Applied Economics, 4 (3), 190-224. https://doi.org/10.1257/app.4.3.190.
|
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https://doi.org/10.1257/app.4.3.190
|
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57. Eckstein, Z., Keane, M., & Lifshitz, O. (2019). Career and Family Decisions: Cohorts Born 1935-1975. Econometrica, 87(1), 217-253. https://doi.org/10.3982/ECTA14474.
|
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https://doi.org/10.3982/ECTA14474
|
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|
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58. Ekberg, J., Eriksson, R., & Friebel, G. (2013). Parental leave - A policy evaluation of the Swedish ''Daddy-Month" reform. Journal of Public Economics, 97, 131-143. https://doi.org/10.1016/j.jpubeco.2012.09.001.
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https://doi.org/10.1016/j.jpubeco.2012.09.001
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59. Endendijk, J. J., Derks, B., & Mesman, J. (2018). Does parenthood change implicit gender-role stereotypes and behaviors? Journal of Marriage and Family, 80(1), 61-79. https://doi.org/10.1111/jomf.12451.
|
||||
https://doi.org/10.1111/jomf.12451
|
||||
|
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60. Esteve A. García-Román J. Lesthaeghe R. (2012).The Family Context of Cohabitation and Single Motherhood in Latin America 38(4) 707-727 http://dx.doi.org/10.1111/j.1728-4457.2012.00533.x.
|
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https://doi.org/10.1111/j.1728-4457.2012.00533.x
|
||||
|
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61. Field, E. M., Pande, R., Rigol, N., Schaner, S. G., & Moore, C. T. (2019). On Her Own Account: How Strengthening Women's Financial Control Affects Labor Supply and Gender Norms. National Bureau of Economic Research Working Paper Series, No. 26294.
|
||||
https://doi.org/10.3386/w26294
|
||||
|
||||
62. Finlay, J. E., Efevbera, Y., Ndikubagenzi, J., Karra, M., & Canning, D. (2018). Reframing the Measurement of Women's Work in the Sub-Saharan African Context. Work, Employment and Society, First Online. doi:10.1177/0950017018774245.
|
||||
https://doi.org/10.1177/0950017018774245
|
||||
|
||||
63. Finlay, Jocelyn. E., & Lee, Marlene. A. (2018). Identifying causal effects of reproductive health improvements on women's economic empowerment through the population poverty research initiative: Causal effects of reproductive health improvements. The Milbank Quarterly, 96(2), 300-322. https://doi.org/10.1111/1468-0009.12326.
|
||||
https://doi.org/10.1111/1468-0009.12326
|
||||
|
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64. Francavilla, F., & Giannelli, G. C. (2011). Does family planning help the employment of women? The case of India. Journal of Asian Economics, 22(5), 412-426. https://doi.org/10.1016/j.asieco.2011.06.001.
|
||||
https://doi.org/10.1016/j.asieco.2011.06.001
|
||||
|
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65. Galor, O., & Weil, D. N. (1996). The gender gap, fertility, and growth. The American Economic Review, 86(3), 374-387.
|
||||
|
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66. Galor, O., & Weil, D. N. (1999). From malthusian stagnation to modern growth. American Economic Review, 89(2), 150-154. https://doi.org/10.1257/aer.89.2.150.
|
||||
https://doi.org/10.1257/aer.89.2.150
|
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|
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67. Gammage, S., Joshi, S., & Rodgers, Y. V. D. M. (2020). The intersections of women's economic and reproductive empowerment. Feminist Economics, 26(1), 1-22. https://doi.org/10.1080/13545701.2019.1674451.
|
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https://doi.org/10.1080/13545701.2019.1674451
|
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68. Gammage, Sarah, Sultana, Naziha, & Glinski, Allison (2020). Reducing vulnerable employment: is there a role for reproductive health, social protection, and labor market policy? Feminist Economics, 26(1), 121-153. https://doi.org/10.1080/13545701.2019.1670350.
|
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https://doi.org/10.1080/13545701.2019.1670350
|
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|
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69. Geronimus, A. T., & Korenman, S. (1992). The socioeconomic consequences of teen childbearing reconsidered. The Quarterly Journal of Economics, 107(4), 1187-1214. https://doi.org/10.2307/2118385.
|
||||
https://doi.org/10.2307/2118385
|
||||
|
||||
70. Ginja, Rita, Jans, Jenny, & Karimi, Arizo (2020). Parental leave benefits, household labor supply, and children's long-run outcomes. Journal of Labor Economics, 38 (1), 261-320. https://doi.org/10.1086/704615.
|
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https://doi.org/10.1086/704615
|
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|
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71. Goldin, C. (1995). The U-shaped female labor force function in economic development and economic history. In T. P. Schultz (Ed.), Investment in Women's Human Capital and Economic Development (pp. 61-90). University of Chicago Press.
|
||||
https://doi.org/10.3386/w4707
|
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|
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72. Goldin, Claudia, & Katz, Lawrence F. (2002). The power of the pill: Oral contraceptives and women's career and marriage decisions. Journal of Political Economy, 110(4), 730-770. https://doi.org/10.1086/340778.
|
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https://doi.org/10.1086/340778
|
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|
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73. Goldin, Claudia, & Katz, Lawrence F. (2011). The cost of workplace flexibility for high-powered professionals. The Annals of the American Academy of Political and Social Science, 638(1), 45-67. https://doi.org/10.1177/0002716211414398.
|
||||
https://doi.org/10.1177/0002716211414398
|
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|
||||
74. Goldin, Claudia, & Mitchell, Joshua (2017). The new life cycle of women's employment: Disappearing humps, sagging middles, expanding tops. Journal of Economic Perspectives, 31(1), 161-182. https://doi.org/10.1257/jep.31.1.161.
|
||||
https://doi.org/10.1257/jep.31.1.161
|
||||
|
||||
75. Gough, M. (2017). Birth spacing, human capital, and the motherhood penalty at midlife in the United States. Demographic Research, 37, 363-415. https://doi.org/10.4054/DemRes.2017.37.13.
|
||||
https://doi.org/10.4054/DemRes.2017.37.13
|
||||
|
||||
76. Gündüz-Hosßgör, Aysße, & Smits, Jeroen (2008). Variation in labor market participation of married women in Turkey. Women's Studies International Forum, 31(2), 104-117. https://doi.org/10.1016/j.wsif.2008.03.003.
|
||||
https://doi.org/10.1016/j.wsif.2008.03.003
|
||||
|
||||
77. Günther, Isabel, & Harttgen, Kenneth (2016). Desired fertility and number of children born across time and space. Demography, 53(1), 55-83. https://doi.org/10.1007/s13524-015-0451-9.
|
||||
https://doi.org/10.1007/s13524-015-0451-9
|
||||
|
||||
78. Halim, D., Johnson, H., & Perova, E. (2019). Could childcare services improve women's labor market outcomes in indonesia? World Bank Policy Research Working Paper, 113927.
|
||||
|
||||
79. Hardoy, I., & Schøne, P. (2015). Enticing even higher female labor supply: the impact of cheaper day care. Review of Economics of the Household, 13(4), 815-836. doi:10.1007/s11150-013-9215-8.
|
||||
https://doi.org/10.1007/s11150-013-9215-8
|
||||
|
||||
80. Harttgen, Kenneth, & Vollmer, Sebastian (2014). A reversal in the relationship of human development with fertility? Demography, 51(1), 173-184. https://doi.org/10.1007/s13524-013-0252-y.
|
||||
https://doi.org/10.1007/s13524-013-0252-y
|
||||
|
||||
81. Heath, Rachel (2017). Fertility at work: Children and women's labor market outcomes in urban Ghana. Journal of Development Economics, 126, 190-214. https://doi.org/10.1016/j.jdeveco.2016.11.003.
|
||||
https://doi.org/10.1016/j.jdeveco.2016.11.003
|
||||
|
||||
82. Heath, R., & Jayachandran, S. (2017). The causes and consequences of increased female education and labor force participation in developing countries. In S. L. Averett, L. M. Argys, & S. D. Hoffman (Eds.), The Oxford Handbook of Women and the. Economy: Oxford University Press.
|
||||
https://doi.org/10.1093/oxfordhb/9780190628963.013.10
|
||||
|
||||
83. Herrera Almanza, Catalina, & Sahn, David E. (2018). Early childbearing, school attainment, and cognitive skills: Evidence from madagascar. Demography, 55(2), 643-668. https://doi.org/10.1007/s13524-018-0664-9.
|
||||
https://doi.org/10.1007/s13524-018-0664-9
|
||||
|
||||
84. Herrera, C., Sahn, D. E., & Villa, K. M. (2019). Teen Fertility and Female Employment Outcomes: Evidence from Madagascar. Journal of African Economies, 28(3), 277-303. doi: 10.1093/jae/ejy024.
|
||||
https://doi.org/10.1093/jae/ejy024
|
||||
|
||||
85. Hersch, Joni (2011). Compensating differentials for sexual harassment. American Economic Review, 101(3), 630-634. https://doi.org/10.1257/aer.101.3.630.
|
||||
https://doi.org/10.1257/aer.101.3.630
|
||||
|
||||
86. Hojman, A., & López Boo, F. (2019). Cost-effective public daycare in a low-income economy benefits children and mothers IDB Working Paper Series, IDB-WP1036
|
||||
https://doi.org/10.18235/0001849
|
||||
|
||||
87. Hotchkiss, Julie L., Pitts, M. Melinda, & Walker, Mary Beth (2017). Impact of first birth career interruption on earnings: Evidence from administrative data. Applied Economics, 49(35), 3509-3522. https://doi.org/10.1080/00036846.2016.1262523.
|
||||
https://doi.org/10.1080/00036846.2016.1262523
|
||||
|
||||
88. Jayachandran, S. (2020). Social norms as a barrier to women's employment in developing countries. National Bureau of Economic Research Working Paper Series, 27449. https://doi.org/10.3386/w27449.
|
||||
https://doi.org/10.3386/w27449
|
||||
|
||||
89. Jones, Kelly M. (2014). Growing up together: Cohort composition and child investment. Demography, 51(1), 229-255. https://doi.org/10.1007/s13524013-0237-x.
|
||||
https://doi.org/10.1007/s13524-013-0237-x
|
||||
|
||||
90. Jones, Kelly M. (2015). Contraceptive supply and fertility outcomes: Evidence from ghana. Economic Development and Cultural Change, 64(1), 31-69. https://doi.org/10.1086/682981.
|
||||
https://doi.org/10.1086/682981
|
||||
|
||||
91. Joshi, S., & Schultz, T. P. (2007). Family Planning as an Investment in Development: Evaluation of a Program's Consequences in Matlab, Bangladesh Economic Growth Center Yale University Center Discussion Paper, 951.
|
||||
|
||||
92. Joshi, S., & Schultz, T. P. (2012). Family planning and women's and children's health: long term consequences of an outreach program in Matlab, Bangladesh. IZA Discussion Paper No. 5164., no. 6551, May, 2012, http://ftp.iza.org/dp6551.pdf.
|
||||
https://doi.org/10.2139/ssrn.2062750
|
||||
|
||||
93. Juhn, Chinhui, & McCue, Kristin (2017). Specialization then and now: Marriage, children, and the gender earnings gap across cohorts. Journal of Economic Perspectives, 31(1), 183-204. https://doi.org/10.1257/jep.31.1.183.
|
||||
https://doi.org/10.1257/jep.31.1.183
|
||||
|
||||
94. Kabeer, N. (2012). Women's economic empowerment and inclusive growth: Labour markets and enterprise development. IDRC Discussion Paper, 29/12.
|
||||
|
||||
95. Kabeer, Naila, Mahmud, Simeen, & Tasneem, Sakiba (2018). The contested relationship between paid work and women's empowerment: Empirical analysis from Bangladesh. European Journal of Development Research, 30(2), 235-251. https://doi.org/10.1057/s41287-017-0119-y.
|
||||
https://doi.org/10.1057/s41287-017-0119-y
|
||||
|
||||
96. Kalist, David E. (2004). Abortion and female labor force participation: Evidence prior to Roe v. Wade. Journal of Labor Research, 25(3), 503-514. https://doi.org/10.1007/s12122-004-1028-3.
|
||||
https://doi.org/10.1007/s12122-004-1028-3
|
||||
|
||||
97. Kearney, Melissa S, & Levine, Phillip B (2012). Why is the teen birth rate in the United states so high and why does it matter? Journal of Economic Perspectives, 26(2), 141-166. https://doi.org/10.1257/jep.26.2.141.
|
||||
https://doi.org/10.1257/jep.26.2.141
|
||||
|
||||
98. Kearney, Melissa S., & Levine, Phillip B. (2015). Investigating recent trends in the U. S. teen birth rate. Journal of Health Economics, 41, 15-29. https://doi.org/10.1016/j.jhealeco.2015.01.003.
|
||||
https://doi.org/10.1016/j.jhealeco.2015.01.003
|
||||
|
||||
99. Kögel, Tomas (2004). Did the association between fertility and female employment within OECD countries really change its sign? Journal of Population Economics, 17(1), 45-65. https://doi.org/10.1007/s00148-003-0180-z.
|
||||
https://doi.org/10.1007/s00148-003-0180-z
|
||||
|
||||
100. Kosgei, Rose J., Lubano, Kizito M., Shen, Changyu, Wools-Kaloustian, Kara K., Musick, Beverly S., Siika, Abraham M., Mabeya, Hillary, Carter, E. Jane, Mwangi, Ann, & Kiarie, James (2011). Impact of integrated family planning and HIV Care services on contraceptive use and pregnancy outcomes: A retrospective cohort study. JAIDS Journal of Acquired Immune Deficiency Syndromes, 58(5), e121-e126. https://doi.org/10.1097/QAI.0b013e318237ca80.
|
||||
https://doi.org/10.1097/QAI.0b013e318237ca80
|
||||
|
||||
101. Leite, T. H., de Moraes, C. L., Marques, E. S., Caetano, R., Braga, J. U., & Reichenheim, M. E. (2019). Women economic empowerment via cash transfer and microcredit programs is enough to decrease intimate partner violence? Evidence from a systematic review. Cadernos De Saude Publica, 35(9). https://doi.org/10.1590/0102-311x00174818.
|
||||
https://doi.org/10.1590/0102-311x00174818
|
||||
|
||||
102. Macmillan, R., & Gartner, R. (1999). When she brings home the bacon: Labor-force participation and the risk of spousal violence against women. Journal of Marriage and the Family, 61(4), 947-958. https://doi.org/10.2307/354015.
|
||||
https://doi.org/10.2307/354015
|
||||
|
||||
103. Malthus, T. R. (1798). An Essay on the Principle of Population, as it Affects the Future Improvement of Society. London: Printed for J. Johnson, in St. Paul's Church-Yard.
|
||||
|
||||
104. Mammen, Kristin, & Paxson, Christina (2000). Women's work and economic development. Journal of Economic Perspectives, 14(4), 141-164. https://doi.org/10.1257/jep.14.4.141.
|
||||
https://doi.org/10.1257/jep.14.4.141
|
||||
|
||||
105. Martínez A., Claudia, & Perticará, Marcela (2017). Childcare effects on maternal employment: Evidence from Chile. Journal of Development Economics, 126, 127-137. https://doi.org/10.1016/j.jdeveco.2017.01.001.
|
||||
https://doi.org/10.1016/j.jdeveco.2017.01.001
|
||||
|
||||
106. Martinez, Dolores Ferrero, & Iza, Amaia (2004). Skill premium effects on fertility and female labor force supply. Journal of Population Economics, 17(1), 1-16. https://doi.org/10.1007/s00148-003-0150-5.
|
||||
https://doi.org/10.1007/s00148-003-0150-5
|
||||
|
||||
107. McLaughlin, Heather, Uggen, Christopher, & Blackstone, Amy (2017). The economic and career effects of sexual harassment on working women. Gender & Society, 31(3), 333-358. https://doi.org/10.1177/0891243217704631.
|
||||
https://doi.org/10.1177/0891243217704631
|
||||
|
||||
108. J.A. Menon T. Kusanthan S.O.C. Mwaba L. Juanola M.C. Kok Sharon Mary Brownie 'Ring' your future, without changing diaper - Can preventing teenage pregnancy address child marriage in Zambia? PLoS ONE 13 10 e0205523 10.1371/journal.pone.0205523.s001
|
||||
https://doi.org/10.1371/journal.pone.0205523
|
||||
|
||||
109. Millán-Quijano, J. (2015). Drugs, guns and early motherhood in Colombia. Universidad Carlos III de Madrid Working Paper, 15-09.
|
||||
|
||||
110. Miller, G. (2010). Contraception as development? New evidence from family planning in Colombia. The Economic Journal, 120(545), 709-736. doi:10.1111/j.1468-0297.2009.02306.x
|
||||
https://doi.org/10.1111/j.1468-0297.2009.02306.x
|
||||
|
||||
111. Miller, Grant, & Babiarz, Kimberly Singer (2016). Family planning program effects: Evidence from microdata: Family planning program effects. Population and Development Review, 42(1), 7-26. https://doi.org/10.1111/j.17284457.2016.00109.x.
|
||||
https://doi.org/10.1111/j.1728-4457.2016.00109.x
|
||||
|
||||
112. Moffitt, R. (1983). An economic model of welfare stigma. American Economic Review, 73, 1023.
|
||||
|
||||
113. Molyneaux, J. W., & Gertler, P. J. (2000). The impact of targeted family planning programs in indonesia. Population and Development Review, 26, 61-85.
|
||||
|
||||
114. Myers, Caitlin Knowles (2017). The power of abortion policy: Reexamining the effects of young Women's access to reproductive control. Journal of Political Economy, 125(6), 2178-2224. https://doi.org/10.1086/694293.
|
||||
https://doi.org/10.1086/694293
|
||||
|
||||
115. Myrskylä, Mikko, Kohler, Hans-Peter, & Billari, Francesco C. (2009). Advances in development reverse fertility declines. Nature, 460(7256), 741-743. https://doi.org/10.1038/nature08230.
|
||||
https://doi.org/10.1038/nature08230
|
||||
|
||||
116. Nandi, A., Jahagirdar, D., Dimitris, M. C., Labrecque, J. A., Strumpf, E. C., Kaufman, J. S., . . . Heymann, S. J. (2018). The Impact of Parental and Medical Leave Policies on Socioeconomic and Health Outcomes in OECD Countries: A Systematic Review of the Empirical Literature. Milbank Q, 96(3), 434-471. doi:10.1111/14680009.12340.
|
||||
https://doi.org/10.1111/1468-0009.12340
|
||||
|
||||
117. Nussbaum, M. (2011). Creating capabilities : The human development approach. Cambridge, Massachusetts: Belknap Press of Harvard University Press.
|
||||
https://doi.org/10.4159/harvard.9780674061200
|
||||
|
||||
118. Oshio, T. (2019). Is a positive association between female employment and fertility still spurious in developed countries? Demographic Research, 41, 1277-1288. https://doi.org/10.4054/DemRes.2019.41.45.
|
||||
https://doi.org/10.4054/DemRes.2019.41.45
|
||||
|
||||
119. Pritchett, L. H. (1994a). Desired fertility and the impact of population policies. Population and Development Review, 20(1), 1-55. https://doi.org/10.2307/2137629.
|
||||
https://doi.org/10.2307/2137629
|
||||
|
||||
120. Pritchett, L. H. (1994b). The impact of population policies - Reply. Population and Development Review, 20(3), 621-630. https://doi.org/10.2307/2137605.
|
||||
https://doi.org/10.2307/2137605
|
||||
|
||||
121. Qian, N. (2009). Quantity-quality and the one child policy: The only-child disadvantage in school enrollment in rural China. National Bureau of Economic Research Working Paper Series, w14973. doi:10.3386/w14973
|
||||
https://doi.org/10.3386/w14973
|
||||
|
||||
122. Quisumbing, Agnes R., Hallman, Kelly, & Ruel, Marie T. (2007). Maquiladoras and market mamas: Women's work and childcare in Guatemala City and Accra. The Journal of Development Studies, 43(3), 420-455. https://doi.org/10.1080/00220380701204380.
|
||||
https://doi.org/10.1080/00220380701204380
|
||||
|
||||
123. Radhakrishnan, U. (2010). A dynamic structural model of contraceptive use and employment sector choice for women in indonesia. Federal Reserve Bank of St Louis.
|
||||
https://doi.org/10.2139/ssrn.1688337
|
||||
|
||||
124. Ribar, David C. (1999). The socioeconomic consequences of young women's childbearing: Reconciling disparate evidence. Journal of Population Economics, 12(4), 547-565. https://doi.org/10.1007/s001480050113.
|
||||
https://doi.org/10.1007/s001480050113
|
||||
|
||||
125. Rosenzweig, Mark R., & Wolpin, Kenneth I. (1980a). Life-cycle labor supply and fertility: Causal inferences from household models. Journal of Political Economy, 88(2), 328-348. https://doi.org/10.1086/260868.
|
||||
https://doi.org/10.1086/260868
|
||||
|
||||
126. Rosenzweig, M. R., & Wolpin, K. I. (1980b). Testing the quantity-quality fertility model - Use of twins as a natural experiment. Econometrica, 48(1), 227-240. https://doi.org/10.2307/1912026.
|
||||
https://doi.org/10.2307/1912026
|
||||
|
||||
127. Sen, A. (1989). Development as capabilities expansion. Journal of Development Planning, 19, 41-58.
|
||||
https://doi.org/10.1007/978-1-349-21136-4_3
|
||||
|
||||
128. Stark, Laura (2018). Poverty, consent, and choice in early marriage: Ethnographic perspectives from urban tanzania. Marriage & Family Review, 54(6), 565-581. https://doi.org/10.1080/01494929.2017.1403998.
|
||||
https://doi.org/10.1080/01494929.2017.1403998
|
||||
|
||||
129. Uribe, Ana Maria Tribin, Vargas, Carmiña O., & Bustamante, Natalia Ramírez (2019). Unintended consequences of maternity leave legislation: The case of Colombia. World Development, 122, 218-232. https://doi.org/10.1016/j.worlddev.2019.05.007.
|
||||
https://doi.org/10.1016/j.worlddev.2019.05.007
|
||||
|
||||
130. Vere, James Patrick (2007). ''Having It All" No longer: Fertility, female labor supply, and the new life choices of generation X. Demography, 44(4), 821-828. https://doi.org/10.1353/dem.2007.0035.
|
||||
https://doi.org/10.1353/dem.2007.0035
|
||||
|
||||
131. Verick, S. (2014). Female labor force participation in developing countries. IZA World of Labor, 87. https://doi.org/10.15185/izawol.87.
|
||||
https://doi.org/10.15185/izawol.87
|
||||
|
||||
132. Vollset, Stein Emil, Goren, Emily, Yuan, Chun-Wei, Cao, Jackie, Smith, Amanda E, Hsiao, Thomas, Bisignano, Catherine, Azhar, Gulrez S, Castro, Emma, Chalek, Julian, Dolgert, Andrew J, Frank, Tahvi, Fukutaki, Kai, Hay, Simon I, Lozano, Rafael, Mokdad, Ali H, Nandakumar, Vishnu, Pierce, Maxwell, Pletcher, Martin, Robalik, Toshana, Steuben, Krista M, Wunrow, Han Yong, Zlavog, Bianca S, & Murray, Christopher J L (2020). Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: A forecasting analysis for the Global Burden of Disease Study. Lancet, 396(10258), 1285-1306. https://doi.org/10.1016/S0140-6736(20)30677-2.
|
||||
https://doi.org/10.1016/S0140-6736(20)30677-2
|
||||
|
||||
133. Vyas, Seema, & Watts, Charlotte (2009). How does economic empowerment affect women's risk of intimate partner violence in low and middle income countries? A systematic review of published evidence. Journal of International Development, 21(5), 577-602. https://doi.org/10.1002/jid.1500.
|
||||
https://doi.org/10.1002/jid.1500
|
||||
|
||||
134. Waldfogel, Jane (1998). Understanding the 'Family Gap' in Pay for Women with Children. Journal of Economic Perspectives, 12(1), 137-156. https://doi.org/10.1257/jep.12.1.137.
|
||||
https://doi.org/10.1257/jep.12.1.137
|
||||
|
||||
135. We˛ziak-Białowolska, Dorota, Białowolski, Piotr, & McNeely, Eileen (2020). The impact of workplace harassment and domestic violence on work outcomes in the developing world. World Development, 126, 104732. https://doi.org/10.1016/j.worlddev.2019.104732.
|
||||
https://doi.org/10.1016/j.worlddev.2019.104732
|
||||
|
||||
136. Wong, Rebeca, & Levine, Ruth E. (1992). The effect of household structure on Women's economic activity and fertility: Evidence from recent mothers in Urban Mexico. Economic Development and Cultural Change, 41(1), 89-102. https://doi.org/10.1086/451997.
|
||||
https://doi.org/10.1086/451997
|
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5. Rommens JM, Iannuzzi MC, Kerem BS, Drumm ML, Melmer G, et al. (1989) Identification of the Cystic-Fibrosis Gene - Chromosome Walking and Jumping. Science 245: 1059–1065.
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6. Bobadilla JL, Macek M, Fine JP, Farrell PM (2002) Cystic fibrosis: A worldwide analysis of CFTR mutations - Correlation with incidence data and application to screening. Human Mutation 19: 575–606.
|
||||
7. Qu BH, Thomas PJ (1996) Alteration of the cystic fibrosis transmembrane conductance regulator folding pathway - Effects of the Delta F508 mutation on the thermodynamic stability and folding yield of NBD1. J Biol Chem 271: 7261–7264.
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https://doi.org/10.1086/690952
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https://doi.org/10.1257/aer.98.2.500
|
||||
https://doi.org/10.3368/jhr.46.4.800
|
||||
https://doi.org/10.1007/s001480100078
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||||
https://doi.org/10.1162/003355300554881
|
||||
https://doi.org/10.2307/146347
|
||||
https://doi.org/10.1093/wbro/10.1.1
|
||||
https://doi.org/10.1093/qje/qjt005
|
||||
https://doi.org/10.4054/DemRes.2012.26.15
|
||||
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|
||||
https://doi.org/10.1086/678983
|
||||
https://doi.org/10.1086/678983
|
||||
https://doi.org/10.1257/aer.104.7.2210
|
||||
https://doi.org/10.1257/aer.98.4.1517
|
||||
https://doi.org/10.1093/qje/121.1.289
|
||||
https://doi.org/10.1353/eca.2013.0001
|
||||
https://doi.org/10.1257/app.4.3.225
|
||||
https://doi.org/10.23846/ow2147
|
||||
https://doi.org/10.1007/s10680-012-9277-y
|
||||
https://doi.org/10.21203/rs.3.rs-113086/v1
|
||||
https://doi.org/10.1086/260166
|
||||
https://doi.org/10.1086/260536
|
||||
https://doi.org/10.2139/ssrn.1591706
|
||||
https://doi.org/10.2139/ssrn.3213304
|
||||
https://doi.org/10.3368/jhr.45.1.33
|
||||
https://doi.org/10.1007/s10887-009-9039-9
|
||||
https://doi.org/10.3982/ECTA11576
|
||||
https://doi.org/10.2307/2137604
|
||||
https://doi.org/10.1111/j.1728-4465.2008.00157.x
|
||||
https://doi.org/10.1363/3720911
|
||||
https://doi.org/10.1111/j.1728-4457.2013.00557.x
|
||||
https://doi.org/10.1111/padr.12197
|
||||
https://doi.org/10.2307/172159
|
||||
https://doi.org/10.3368/jhr.XLI.4.738
|
||||
https://doi.org/10.1007/s13524-011-0076-6
|
||||
https://doi.org/10.1016/S0140-6736(12)60827-7
|
||||
https://doi.org/10.1177/0971521518761430
|
||||
https://doi.org/10.1007/s13524-019-00793-3
|
||||
https://doi.org/10.1111/joes.12202
|
||||
https://doi.org/10.1093/ije/dys184
|
||||
https://doi.org/10.1016/j.labeco.2005.10.006
|
||||
https://doi.org/10.1111/1468-0335.00303
|
||||
https://doi.org/10.1016/j.worlddev.2016.10.012
|
||||
https://doi.org/10.1111/j.1728-4465.2002.00141.x
|
||||
https://doi.org/10.1007/s13524-011-0029-0
|
||||
https://doi.org/10.1017/dem.2014.8
|
||||
https://doi.org/10.1007/s10887-019-09172-4
|
||||
https://doi.org/10.1093/wbro/lkt001
|
||||
https://doi.org/10.1257/jel.50.4.1051
|
||||
https://doi.org/10.3386/w10498
|
||||
https://doi.org/10.1257/aer.103.1.438
|
||||
https://doi.org/10.1080/13552074.2013.802131
|
||||
https://doi.org/10.1257/app.4.3.190
|
||||
https://doi.org/10.3982/ECTA14474
|
||||
https://doi.org/10.1016/j.jpubeco.2012.09.001
|
||||
https://doi.org/10.1111/jomf.12451
|
||||
https://doi.org/10.1111/j.1728-4457.2012.00533.x
|
||||
https://doi.org/10.3386/w26294
|
||||
https://doi.org/10.1177/0950017018774245
|
||||
https://doi.org/10.1111/1468-0009.12326
|
||||
https://doi.org/10.1016/j.asieco.2011.06.001
|
||||
https://doi.org/10.1257/aer.89.2.150
|
||||
https://doi.org/10.1080/13545701.2019.1674451
|
||||
https://doi.org/10.1080/13545701.2019.1670350
|
||||
https://doi.org/10.2307/2118385
|
||||
https://doi.org/10.1086/704615
|
||||
https://doi.org/10.3386/w4707
|
||||
https://doi.org/10.1086/340778
|
||||
https://doi.org/10.1177/0002716211414398
|
||||
https://doi.org/10.1257/jep.31.1.161
|
||||
https://doi.org/10.4054/DemRes.2017.37.13
|
||||
https://doi.org/10.1016/j.wsif.2008.03.003
|
||||
https://doi.org/10.1007/s13524-015-0451-9
|
||||
https://doi.org/10.1007/s11150-013-9215-8
|
||||
https://doi.org/10.1007/s13524-013-0252-y
|
||||
https://doi.org/10.1016/j.jdeveco.2016.11.003
|
||||
https://doi.org/10.1093/oxfordhb/9780190628963.013.10
|
||||
https://doi.org/10.1007/s13524-018-0664-9
|
||||
https://doi.org/10.1093/jae/ejy024
|
||||
https://doi.org/10.1257/aer.101.3.630
|
||||
https://doi.org/10.18235/0001849
|
||||
https://doi.org/10.1080/00036846.2016.1262523
|
||||
https://doi.org/10.3386/w27449
|
||||
https://doi.org/10.1007/s13524-013-0237-x
|
||||
https://doi.org/10.1086/682981
|
||||
https://doi.org/10.2139/ssrn.2062750
|
||||
https://doi.org/10.1257/jep.31.1.183
|
||||
https://doi.org/10.1057/s41287-017-0119-y
|
||||
https://doi.org/10.1007/s12122-004-1028-3
|
||||
https://doi.org/10.1257/jep.26.2.141
|
||||
https://doi.org/10.1016/j.jhealeco.2015.01.003
|
||||
https://doi.org/10.1007/s00148-003-0180-z
|
||||
https://doi.org/10.1097/QAI.0b013e318237ca80
|
||||
https://doi.org/10.1590/0102-311x00174818
|
||||
https://doi.org/10.2307/354015
|
||||
https://doi.org/10.1257/jep.14.4.141
|
||||
https://doi.org/10.1016/j.jdeveco.2017.01.001
|
||||
https://doi.org/10.1007/s00148-003-0150-5
|
||||
https://doi.org/10.1177/0891243217704631
|
||||
https://doi.org/10.1371/journal.pone.0205523
|
||||
https://doi.org/10.1111/j.1468-0297.2009.02306.x
|
||||
https://doi.org/10.1111/j.1728-4457.2016.00109.x
|
||||
https://doi.org/10.1086/694293
|
||||
https://doi.org/10.1038/nature08230
|
||||
https://doi.org/10.1111/1468-0009.12340
|
||||
https://doi.org/10.4159/harvard.9780674061200
|
||||
https://doi.org/10.4054/DemRes.2019.41.45
|
||||
https://doi.org/10.2307/2137629
|
||||
https://doi.org/10.2307/2137605
|
||||
https://doi.org/10.3386/w14973
|
||||
https://doi.org/10.1080/00220380701204380
|
||||
https://doi.org/10.2139/ssrn.1688337
|
||||
https://doi.org/10.1007/s001480050113
|
||||
https://doi.org/10.1086/260868
|
||||
https://doi.org/10.2307/1912026
|
||||
https://doi.org/10.1007/978-1-349-21136-4_3
|
||||
https://doi.org/10.1080/01494929.2017.1403998
|
||||
https://doi.org/10.1016/j.worlddev.2019.05.007
|
||||
https://doi.org/10.1353/dem.2007.0035
|
||||
https://doi.org/10.15185/izawol.87
|
||||
https://doi.org/10.1016/S0140-6736(20)30677-2
|
||||
https://doi.org/10.1002/jid.1500
|
||||
https://doi.org/10.1257/jep.12.1.137
|
||||
https://doi.org/10.1016/j.worlddev.2019.104732
|
||||
https://doi.org/10.1086/451997
|
136
02-data/raw/02_snowballing-starts/Finlay2021/references.txt
Normal file
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Normal file
|
@ -0,0 +1,136 @@
|
|||
1. Adair, L., Bisgrove, E., Gultiano, S., & Guilkey, D. (2002). Effect of childbearing on Filipino women’s work hours and earnings. Journal of Population Economics, 15 (4), 625–645. https://doi.org/10.1007/s001480100101.
|
||||
2. Adda, J., Dustmann, C., & Stevens, K. (2017). The career costs of children. Journal of Political Economy, 125(2), 293–337. https://doi.org/10.1086/690952.
|
||||
3. Agüero, J. M., & Marks, M. S. (2008). Motherhood and Female Labor Force Participation: Evidence from Infertility Shocks. American Economic Review, 98 (2), 500–504. https://doi.org/10.1257/aer.98.2.500.
|
||||
4. Agüero, J. M., & Marks, M. S. (2011). Motherhood and female labor supply in the developing world: Evidence from infertility shocks. The Journal of Human Resources, 46(4), 800–826. https://doi.org/10.3368/jhr.46.4.800.
|
||||
5. Ahn, N., & Mira, P. (2002). A note on the changing relationship between fertility and female employment rates in developed countries. Journal of Population Economics, 15(4), 667–682. https://doi.org/10.1007/s001480100078.
|
||||
6. Akerlof, G. A., & Kranton, R. E. (2000). Economics and Identity*. Quarterly Journal of Economics, 115(3), 715–753. https://doi.org/10.1162/003355300554881.
|
||||
7. Albrecht, J. W., Edin, P.-A., Sundström, M., & Vroman, S. B. (1999). Career interruptions and subsequent earnings: A reexamination using swedish data. The Journal of Human Resources, 34(2), 294–311. https://doi.org/10.2307/146347.
|
||||
8. Alderman, H., Chiappori, P.-A., Haddad, L., Hoddinott, J., & Kanbur, R. (1995). Unitary versus collective models of the household: is it time to shift the burden of proof? World Bank Research Observer, 10(1), 1–19. https://doi.org/10.1093/wbro/10.1.1.
|
||||
9. Alesina, A., Giuliano, P., & Nunn, N. (2013). On the Origins of Gender Roles: Women and the Plough. Quarterly Journal of Economics, 128(2), 469-530.
|
||||
10. Alkema, L., Raftery, A. E., Gerland, P., Clark, S. J., & Pelletier, F. (2012). Estimating trends in the total fertility rate with uncertainty using imperfect data: Examples from West Africa. Demographic Research, 26, 331–362. https://doi.org/10.4054/DemRes.2012.26.15.
|
||||
11. Anderson, S., & Eswaran, M. (2009). What determines female autonomy? Evidence from Bangladesh. Journal of Development Economics, 90(2), 179–191. https://doi.org/10.1016/j.jdeveco.2008.10.004.
|
||||
12. Angrist, J. D., & Evans, W. N. (1998). Children and their parents’ labor supply: Evidence from exogenous variation in family size. American Economic Review, 88 (3), 450–477. https://doi.org/10.1086/678983.
|
||||
13. Ardington, C., Menendez, A., & Mutevedzi, T. (2015). Early childbearing, human capital attainment, and mortality risk: Evidence from a longitudinal demographic surveillance area in rural kwazulu-natal, South Africa. Economic Development and Cultural Change, 63(2), 281–317. https://doi.org/10.1086/678983.
|
||||
14. Ashraf, N., Field, E., & Lee, J. (2014). Household bargaining and excess fertility: An experimental study in Zambia. American Economic Review, 104(7), 2210–2237. https://doi.org/10.1257/aer.104.7.2210.
|
||||
15. Attanasio, O., Low, H., & Sánchez-Marcos, V. (2008). Explaining changes in female labor supply in a life-cycle model. American Economic Review, 98(4), 1517–1552. https://doi.org/10.1257/aer.98.4.1517.
|
||||
16. Averett, S. L., Argys, L. M., Hoffman, S. D., Blau, F. D., & Winkler, A. E. (2017). Women, work, and family. Oxford University Press.
|
||||
17. Bailey, M. J. (2006). More power to the pill: The impact of contraceptive freedom on women’s life cycle labor supply. The Quarterly Journal of Economics, 121(1), 289–320. https://doi.org/10.1093/qje/121.1.289.
|
||||
18. Bailey, M. J. (2013). Fifty years of family planning: new evidence on the long-run effects of increasing access to contraception. Brookings Papers on Economic Activity, 2013(1), 341–409. https://doi.org/10.1353/eca.2013.0001.
|
||||
19. Bailey, M. J., Hershbein, B., & Miller, A. R. (2012). The opt-in revolution? Contraception and the gender gap in wages. American Economic Journal: Applied Economics, 4(3), 225–254. https://doi.org/10.1257/app.4.3.225.
|
||||
20. Baird, S., Chirwa, E., McIntosh, C., & Özler, B. (2015). What happens once the intervention ends? The medium-term impacts of a cash transfer pragramme in Malawi. 3ie Impact Evaluation Report, 27.
|
||||
21. Balbo, N., Billari, F. C., & Mills, M. (2013). Fertility in advanced societies: a review of research: la fécondité dans les sociétés avancées: Un examen des recherches. European Journal of Population/Revue europeenne de demographie, 29(1), 1–38. https://doi.org/10.1007/s10680-012-9277-y.
|
||||
22. Barigozzi, F., Cremer, H., & Roeder, K. (2018). Women’s career choices, social norms and child care policies. Journal of Public Economics, 168, 162–173. https://doi.org/10.21203/rs.3.rs-113086/v1.
|
||||
23. Barros, R. P., Olinto, P., Lunde, T., & Caralho, M. (2013). The impact of access to free childcare on women’s labor market outcomes : evidence from a randomized trial in low-income neighborhoods of Rio de Janeiro. World Bank’s Gender Impact Evaluation Database Washington, D.C. : World Bank Group.
|
||||
24. Becker, G. S., & Lewis, H. G. (1973). On the Interaction between the Quantity and Quality of Children. Journal of Political Economy, 81(2, Part 2), S279–S288. https://doi.org/10.1086/260166.
|
||||
25. Becker, G. S., & Tomes, N. (1976). Child endowments and the quantity and quality of children. Journal of Political Economy, 84(4, Part 2), S143–S162. https://doi.org/10.1086/260536.
|
||||
26. Bhalotra, S., & Umana-Aponte, M. (2010). The Dynamics of Women’s Labour Supply in Developing Countries. IDEAS Working Paper Series from RePEc.
|
||||
27. Bhalotra, S., Venkataramani, A., & Walther, S. (2018). Fertility and labor market responses to reductions in mortality. IZA Discussion Paper, 11716. https://doi.org/10.2139/ssrn.3213304.
|
||||
28. Black, S. E., Devereux, P. J., & Salvanes, K. G. (2010). Small family, smart family?: Family Size and the IQ scores of young men. The Journal of Human Resources, 45 (1), 33–58. https://doi.org/10.3368/jhr.45.1.33.
|
||||
29. Bloom, D. E., Canning, D., Fink, G., & Finlay, J. E. (2009). Fertility, female labor force participation, and the demographic dividend. Journal of Economic Growth, 14(2), 79–101. https://doi.org/10.1007/s10887-009-9039-9.
|
||||
30. Blundell, R., Costa Dias, M., Meghir, C., & Shaw, J. (2016). Female labor supply, human capital, and welfare reform. Econometrica, 84(5), 1705–1753. https://doi.org/10.3982/ecta11576.
|
||||
31. Bongaarts, J. (1994). The impact of population policies – Comment. Population and Development Review, 20(3), 616–620. https://doi.org/10.2307/2137604.
|
||||
32. Bongaarts, J. (2008). Fertility transitions in developing countries: progress or stagnation? Studies in Family Planning, 39(2), 105–110. https://doi.org/10.1111/j.1728-4465.2008.00157.x.
|
||||
33. Bongaarts, J. (2011). Can family planning programs reduce high desired family size in sub-Saharan Africa? IPSRH, 37(04), 209–216. https://doi.org/10.1363/3720911.
|
||||
34. Bongaarts, J., & Casterline, J. (2013). Fertility Transition: Is sub-Saharan Africa Different? Population and Development Review, 38(Suppl 1), 153-168. doi:10.1111/j.1728-4457.2013.00557.x.
|
||||
35. Bongaarts, J., & Casterline, J. B. (2018). From fertility preferences to reproductive outcomes in the developing world: from fertility preferences to reproductive outcomes. Population and Development Review, 44(4), 793–809. https://doi.org/10.1111/padr.12197.
|
||||
36. Boserup, E. (1970). Woman’s role in economic development. London: Earthscan. Buvinic, M. (1998). The costs of adolescent childbearing: evidence from chile, barbados, Guatemala, and Mexico. Studies in Family Planning, 29(2), 201–209. https://doi.org/10.2307/172159.
|
||||
37. Cáceres-Delpiano, J. (2006). The impacts of family size on investment in child quality. The Journal of Human Resources, XLI(4), 738–754. https://doi.org/10.3368/jhr.XLI.4.738.
|
||||
38. Cáceres-Delpiano, J. (2012). Can we still learn something from the relationship between fertility and mother’s employment? evidence from developing countries. Demography, 49(1), 151–174. https://doi.org/10.1007/s13524-0110076-6.
|
||||
39. Canning, D., & Schultz, T. P. (2012). The economic consequences of reproductive health and family planning. The Lancet, 380(9837), 165–171. https://doi.org/10.1016/S0140-6736(12)60827-7.
|
||||
40. Chakravarty, D. (2018). Lack of economic opportunities and persistence of child marriage in West Bengal. Indian Journal of Gender Studies, 25(2), 180–204. https://doi.org/10.1177/0971521518761430.
|
||||
41. Clark, S., Kabiru, C. W., Laszlo, S., & Muthuri, S. (2019). The Impact of Childcare on Poor Urban Women’s Economic Empowerment in Africa. Demography, 56(4), 1247–1272. https://doi.org/10.1007/s13524-019-00793-3.
|
||||
42. Clarke, D. (2018). Children and their parents: A review of fertility and causality. Journal of Economic Surveys, 32(2), 518–540. https://doi.org/10.1111/joes.12202.
|
||||
43. Corsi, D. J., Neuman, M., Finlay, J. E., & Subramanian, S. (2012). Demographic and health surveys: A profile. International Journal of Epidemiology, 41(6), 1602–1613. https://doi.org/10.1093/ije/dys184.
|
||||
44. Cruces, G., & Galiani, S. (2007). Fertility and female labor supply in Latin America: New causal evidence. Labour Economics, 14(3), 565–573. https://doi.org/10.1016/j.labeco.2005.10.006.
|
||||
45. Gupta, N. D., & Smith, N. (2002). Children and career interruptions: The family gap in Denmark. Economica, 69(276), 609–629. https://doi.org/10.1111/14680335.00303.
|
||||
46. de Jong, E., Smits, J., & Longwe, A. (2017). Estimating the causal effect of fertility on Women’s employment in africa using twins. World Development, 90, 360–368. https://doi.org/10.1016/j.worlddev.2016.10.012.
|
||||
47. Debpuur, C., Phillips, J. F., Jackson, E. F., Nazzar, A., Ngom, P., & Binka, F. N. (2002). The impact of the navrongo project on contraceptive knowledge and use, reproductive preferences, and fertility. Studies in Family Planning, 33(2), 141–164. https://doi.org/10.1111/j.1728-4465.2002.00141.x.
|
||||
48. Desai, J., & Tarozzi, A. (2011). Microcredit, family planning programs, and contraceptive behavior: evidence from a field experiment in ethiopia. Demography, 48(2), 749–782. https://doi.org/10.1007/s13524-011-0029-0.
|
||||
49. Doepke, M. (2015). Gary Becker on the quantity and quality of children. J. Dem. Econ., 81(1), 59–66. https://doi.org/10.1017/dem.2014.8.
|
||||
50. Doepke, M., & Tertilt, M. (2019). Does female empowerment promote economic development? Journal of Economic Growth, 24(4), 309–343. https://doi.org/10.1007/s10887-019-09172-4.
|
||||
51. Doss, C. (2013). Intrahousehold bargaining and resource allocation in developing countries. The World Bank Research Observer, 28(1), 52–78. https://doi.org/10.1093/wbro/lkt001.
|
||||
52. Duflo, E. (2012). Women empowerment and economic development. Journal of Economic Literature, 50(4), 1051–1079. https://doi.org/10.1257/jel.50.4.1051.
|
||||
53. Duflo, E., & Udry, C. (2004). Intrahousehold resource allocation in Côte d’Ivoire: Social norms, separate accounts and consumption choices. National Bureau of Economic Research Working Paper Series, 10498.
|
||||
54. Dunbar, G. R., Lewbel, A., & Pendakur, K. (2013). Children’s resources in collective households: identification, estimation, and an application to child poverty in malawi. American Economic Review, 103(1), 438–471. https://doi.org/10.1257/aer.103.1.438.
|
||||
55. Dunckel-Graglia, A. (2013). ‘Pink transportation’ in Mexico City: Reclaiming urban space through collective action against gender-based violence. Gender & Development, 21(2), 265–276. https://doi.org/10.1080/13552074.2013.802131.
|
||||
56. Dustmann, C., & Schönberg, U. (2012). Expansions in maternity leave coverage and children’s long-term outcomes. American Economic Journal: Applied Economics, 4 (3), 190–224. https://doi.org/10.1257/app.4.3.190.
|
||||
57. Eckstein, Z., Keane, M., & Lifshitz, O. (2019). Career and Family Decisions: Cohorts Born 1935–1975. Econometrica, 87(1), 217–253. https://doi.org/10.3982/ECTA14474.
|
||||
58. Ekberg, J., Eriksson, R., & Friebel, G. (2013). Parental leave — A policy evaluation of the Swedish ‘‘Daddy-Month” reform. Journal of Public Economics, 97, 131–143. https://doi.org/10.1016/j.jpubeco.2012.09.001.
|
||||
59. Endendijk, J. J., Derks, B., & Mesman, J. (2018). Does parenthood change implicit gender-role stereotypes and behaviors? Journal of Marriage and Family, 80(1), 61–79. https://doi.org/10.1111/jomf.12451.
|
||||
60. Esteve A. García-Román J. Lesthaeghe R. (2012).The Family Context of Cohabitation and Single Motherhood in Latin America 38(4) 707–727 http://dx.doi.org/10.1111/j.1728-4457.2012.00533.x.
|
||||
61. Field, E. M., Pande, R., Rigol, N., Schaner, S. G., & Moore, C. T. (2019). On Her Own Account: How Strengthening Women’s Financial Control Affects Labor Supply and Gender Norms. National Bureau of Economic Research Working Paper Series, No. 26294.
|
||||
62. Finlay, J. E., Efevbera, Y., Ndikubagenzi, J., Karra, M., & Canning, D. (2018). Reframing the Measurement of Women’s Work in the Sub-Saharan African Context. Work, Employment and Society, First Online. doi:10.1177/0950017018774245.
|
||||
63. Finlay, Jocelyn. E., & Lee, Marlene. A. (2018). Identifying causal effects of reproductive health improvements on women’s economic empowerment through the population poverty research initiative: Causal effects of reproductive health improvements. The Milbank Quarterly, 96(2), 300–322. https://doi.org/10.1111/1468-0009.12326.
|
||||
64. Francavilla, F., & Giannelli, G. C. (2011). Does family planning help the employment of women? The case of India. Journal of Asian Economics, 22(5), 412–426. https://doi.org/10.1016/j.asieco.2011.06.001.
|
||||
65. Galor, O., & Weil, D. N. (1996). The gender gap, fertility, and growth. The American Economic Review, 86(3), 374–387.
|
||||
66. Galor, O., & Weil, D. N. (1999). From malthusian stagnation to modern growth. American Economic Review, 89(2), 150–154. https://doi.org/10.1257/aer.89.2.150.
|
||||
67. Gammage, S., Joshi, S., & Rodgers, Y. V. D. M. (2020). The intersections of women’s economic and reproductive empowerment. Feminist Economics, 26(1), 1–22. https://doi.org/10.1080/13545701.2019.1674451.
|
||||
68. Gammage, Sarah, Sultana, Naziha, & Glinski, Allison (2020). Reducing vulnerable employment: is there a role for reproductive health, social protection, and labor market policy? Feminist Economics, 26(1), 121–153. https://doi.org/10.1080/13545701.2019.1670350.
|
||||
69. Geronimus, A. T., & Korenman, S. (1992). The socioeconomic consequences of teen childbearing reconsidered. The Quarterly Journal of Economics, 107(4), 1187–1214. https://doi.org/10.2307/2118385.
|
||||
70. Ginja, Rita, Jans, Jenny, & Karimi, Arizo (2020). Parental leave benefits, household labor supply, and children’s long-run outcomes. Journal of Labor Economics, 38 (1), 261–320. https://doi.org/10.1086/704615.
|
||||
71. Goldin, C. (1995). The U-shaped female labor force function in economic development and economic history. In T. P. Schultz (Ed.), Investment in Women’s Human Capital and Economic Development (pp. 61–90). University of Chicago Press.
|
||||
72. Goldin, Claudia, & Katz, Lawrence F. (2002). The power of the pill: Oral contraceptives and women’s career and marriage decisions. Journal of Political Economy, 110(4), 730–770. https://doi.org/10.1086/340778.
|
||||
73. Goldin, Claudia, & Katz, Lawrence F. (2011). The cost of workplace flexibility for high-powered professionals. The Annals of the American Academy of Political and Social Science, 638(1), 45–67. https://doi.org/10.1177/0002716211414398.
|
||||
74. Goldin, Claudia, & Mitchell, Joshua (2017). The new life cycle of women’s employment: Disappearing humps, sagging middles, expanding tops. Journal of Economic Perspectives, 31(1), 161–182. https://doi.org/10.1257/jep.31.1.161.
|
||||
75. Gough, M. (2017). Birth spacing, human capital, and the motherhood penalty at midlife in the United States. Demographic Research, 37, 363–415. https://doi.org/10.4054/DemRes.2017.37.13.
|
||||
76. Gündüz-Hosßgör, Aysße, & Smits, Jeroen (2008). Variation in labor market participation of married women in Turkey. Women’s Studies International Forum, 31(2), 104–117. https://doi.org/10.1016/j.wsif.2008.03.003.
|
||||
77. Günther, Isabel, & Harttgen, Kenneth (2016). Desired fertility and number of children born across time and space. Demography, 53(1), 55–83. https://doi.org/10.1007/s13524-015-0451-9.
|
||||
78. Halim, D., Johnson, H., & Perova, E. (2019). Could childcare services improve women’s labor market outcomes in indonesia? World Bank Policy Research Working Paper, 113927.
|
||||
79. Hardoy, I., & Schøne, P. (2015). Enticing even higher female labor supply: the impact of cheaper day care. Review of Economics of the Household, 13(4), 815-836. doi:10.1007/s11150-013-9215-8.
|
||||
80. Harttgen, Kenneth, & Vollmer, Sebastian (2014). A reversal in the relationship of human development with fertility? Demography, 51(1), 173–184. https://doi.org/10.1007/s13524-013-0252-y.
|
||||
81. Heath, Rachel (2017). Fertility at work: Children and women’s labor market outcomes in urban Ghana. Journal of Development Economics, 126, 190–214. https://doi.org/10.1016/j.jdeveco.2016.11.003.
|
||||
82. Heath, R., & Jayachandran, S. (2017). The causes and consequences of increased female education and labor force participation in developing countries. In S. L. Averett, L. M. Argys, & S. D. Hoffman (Eds.), The Oxford Handbook of Women and the. Economy: Oxford University Press.
|
||||
83. Herrera Almanza, Catalina, & Sahn, David E. (2018). Early childbearing, school attainment, and cognitive skills: Evidence from madagascar. Demography, 55(2), 643–668. https://doi.org/10.1007/s13524-018-0664-9.
|
||||
84. Herrera, C., Sahn, D. E., & Villa, K. M. (2019). Teen Fertility and Female Employment Outcomes: Evidence from Madagascar. Journal of African Economies, 28(3), 277-303. doi: 10.1093/jae/ejy024.
|
||||
85. Hersch, Joni (2011). Compensating differentials for sexual harassment. American Economic Review, 101(3), 630–634. https://doi.org/10.1257/aer.101.3.630.
|
||||
86. Hojman, A., & López Boo, F. (2019). Cost-effective public daycare in a low-income economy benefits children and mothers IDB Working Paper Series, IDB-WP1036
|
||||
87. Hotchkiss, Julie L., Pitts, M. Melinda, & Walker, Mary Beth (2017). Impact of first birth career interruption on earnings: Evidence from administrative data. Applied Economics, 49(35), 3509–3522. https://doi.org/10.1080/00036846.2016.1262523.
|
||||
88. Jayachandran, S. (2020). Social norms as a barrier to women’s employment in developing countries. National Bureau of Economic Research Working Paper Series, 27449. https://doi.org/10.3386/w27449.
|
||||
89. Jones, Kelly M. (2014). Growing up together: Cohort composition and child investment. Demography, 51(1), 229–255. https://doi.org/10.1007/s13524013-0237-x.
|
||||
90. Jones, Kelly M. (2015). Contraceptive supply and fertility outcomes: Evidence from ghana. Economic Development and Cultural Change, 64(1), 31–69. https://doi.org/10.1086/682981.
|
||||
91. Joshi, S., & Schultz, T. P. (2007). Family Planning as an Investment in Development: Evaluation of a Program’s Consequences in Matlab, Bangladesh Economic Growth Center Yale University Center Discussion Paper, 951.
|
||||
92. Joshi, S., & Schultz, T. P. (2012). Family planning and women’s and children’s health: long term consequences of an outreach program in Matlab, Bangladesh. IZA Discussion Paper No. 5164., no. 6551, May, 2012, http://ftp.iza.org/dp6551.pdf.
|
||||
93. Juhn, Chinhui, & McCue, Kristin (2017). Specialization then and now: Marriage, children, and the gender earnings gap across cohorts. Journal of Economic Perspectives, 31(1), 183–204. https://doi.org/10.1257/jep.31.1.183.
|
||||
94. Kabeer, N. (2012). Women’s economic empowerment and inclusive growth: Labour markets and enterprise development. IDRC Discussion Paper, 29/12.
|
||||
95. Kabeer, Naila, Mahmud, Simeen, & Tasneem, Sakiba (2018). The contested relationship between paid work and women’s empowerment: Empirical analysis from Bangladesh. European Journal of Development Research, 30(2), 235–251. https://doi.org/10.1057/s41287-017-0119-y.
|
||||
96. Kalist, David E. (2004). Abortion and female labor force participation: Evidence prior to Roe v. Wade. Journal of Labor Research, 25(3), 503–514. https://doi.org/10.1007/s12122-004-1028-3.
|
||||
97. Kearney, Melissa S, & Levine, Phillip B (2012). Why is the teen birth rate in the United states so high and why does it matter? Journal of Economic Perspectives, 26(2), 141–166. https://doi.org/10.1257/jep.26.2.141.
|
||||
98. Kearney, Melissa S., & Levine, Phillip B. (2015). Investigating recent trends in the U. S. teen birth rate. Journal of Health Economics, 41, 15–29. https://doi.org/10.1016/j.jhealeco.2015.01.003.
|
||||
99. Kögel, Tomas (2004). Did the association between fertility and female employment within OECD countries really change its sign? Journal of Population Economics, 17(1), 45–65. https://doi.org/10.1007/s00148-003-0180-z.
|
||||
100. Kosgei, Rose J., Lubano, Kizito M., Shen, Changyu, Wools-Kaloustian, Kara K., Musick, Beverly S., Siika, Abraham M., Mabeya, Hillary, Carter, E. Jane, Mwangi, Ann, & Kiarie, James (2011). Impact of integrated family planning and HIV Care services on contraceptive use and pregnancy outcomes: A retrospective cohort study. JAIDS Journal of Acquired Immune Deficiency Syndromes, 58(5), e121–e126. https://doi.org/10.1097/QAI.0b013e318237ca80.
|
||||
101. Leite, T. H., de Moraes, C. L., Marques, E. S., Caetano, R., Braga, J. U., & Reichenheim, M. E. (2019). Women economic empowerment via cash transfer and microcredit programs is enough to decrease intimate partner violence? Evidence from a systematic review. Cadernos De Saude Publica, 35(9). https://doi.org/10.1590/0102-311x00174818.
|
||||
102. Macmillan, R., & Gartner, R. (1999). When she brings home the bacon: Labor-force participation and the risk of spousal violence against women. Journal of Marriage and the Family, 61(4), 947–958. https://doi.org/10.2307/354015.
|
||||
103. Malthus, T. R. (1798). An Essay on the Principle of Population, as it Affects the Future Improvement of Society. London: Printed for J. Johnson, in St. Paul’s Church-Yard.
|
||||
104. Mammen, Kristin, & Paxson, Christina (2000). Women’s work and economic development. Journal of Economic Perspectives, 14(4), 141–164. https://doi.org/10.1257/jep.14.4.141.
|
||||
105. Martínez A., Claudia, & Perticará, Marcela (2017). Childcare effects on maternal employment: Evidence from Chile. Journal of Development Economics, 126, 127–137. https://doi.org/10.1016/j.jdeveco.2017.01.001.
|
||||
106. Martinez, Dolores Ferrero, & Iza, Amaia (2004). Skill premium effects on fertility and female labor force supply. Journal of Population Economics, 17(1), 1–16. https://doi.org/10.1007/s00148-003-0150-5.
|
||||
107. McLaughlin, Heather, Uggen, Christopher, & Blackstone, Amy (2017). The economic and career effects of sexual harassment on working women. Gender & Society, 31(3), 333–358. https://doi.org/10.1177/0891243217704631.
|
||||
108. J.A. Menon T. Kusanthan S.O.C. Mwaba L. Juanola M.C. Kok Sharon Mary Brownie ‘Ring’ your future, without changing diaper – Can preventing teenage pregnancy address child marriage in Zambia? PLoS ONE 13 10 e0205523 10.1371/journal.pone.0205523.s001
|
||||
109. Millán-Quijano, J. (2015). Drugs, guns and early motherhood in Colombia. Universidad Carlos III de Madrid Working Paper, 15-09.
|
||||
110. Miller, G. (2010). Contraception as development? New evidence from family planning in Colombia. The Economic Journal, 120(545), 709-736. doi:10.1111/j.1468-0297.2009.02306.x
|
||||
111. Miller, Grant, & Babiarz, Kimberly Singer (2016). Family planning program effects: Evidence from microdata: Family planning program effects. Population and Development Review, 42(1), 7–26. https://doi.org/10.1111/j.17284457.2016.00109.x.
|
||||
112. Moffitt, R. (1983). An economic model of welfare stigma. American Economic Review, 73, 1023.
|
||||
113. Molyneaux, J. W., & Gertler, P. J. (2000). The impact of targeted family planning programs in indonesia. Population and Development Review, 26, 61–85.
|
||||
114. Myers, Caitlin Knowles (2017). The power of abortion policy: Reexamining the effects of young Women’s access to reproductive control. Journal of Political Economy, 125(6), 2178–2224. https://doi.org/10.1086/694293.
|
||||
115. Myrskylä, Mikko, Kohler, Hans-Peter, & Billari, Francesco C. (2009). Advances in development reverse fertility declines. Nature, 460(7256), 741–743. https://doi.org/10.1038/nature08230.
|
||||
116. Nandi, A., Jahagirdar, D., Dimitris, M. C., Labrecque, J. A., Strumpf, E. C., Kaufman, J. S., . . . Heymann, S. J. (2018). The Impact of Parental and Medical Leave Policies on Socioeconomic and Health Outcomes in OECD Countries: A Systematic Review of the Empirical Literature. Milbank Q, 96(3), 434-471. doi:10.1111/14680009.12340.
|
||||
117. Nussbaum, M. (2011). Creating capabilities : The human development approach. Cambridge, Massachusetts: Belknap Press of Harvard University Press.
|
||||
118. Oshio, T. (2019). Is a positive association between female employment and fertility still spurious in developed countries? Demographic Research, 41, 1277–1288. https://doi.org/10.4054/DemRes.2019.41.45.
|
||||
119. Pritchett, L. H. (1994a). Desired fertility and the impact of population policies. Population and Development Review, 20(1), 1–55. https://doi.org/10.2307/2137629.
|
||||
120. Pritchett, L. H. (1994b). The impact of population policies – Reply. Population and Development Review, 20(3), 621–630. https://doi.org/10.2307/2137605.
|
||||
121. Qian, N. (2009). Quantity-quality and the one child policy: The only-child disadvantage in school enrollment in rural China. National Bureau of Economic Research Working Paper Series, w14973. doi:10.3386/w14973
|
||||
122. Quisumbing, Agnes R., Hallman, Kelly, & Ruel, Marie T. (2007). Maquiladoras and market mamas: Women’s work and childcare in Guatemala City and Accra. The Journal of Development Studies, 43(3), 420–455. https://doi.org/10.1080/00220380701204380.
|
||||
123. Radhakrishnan, U. (2010). A dynamic structural model of contraceptive use and employment sector choice for women in indonesia. Federal Reserve Bank of St Louis.
|
||||
124. Ribar, David C. (1999). The socioeconomic consequences of young women’s childbearing: Reconciling disparate evidence. Journal of Population Economics, 12(4), 547–565. https://doi.org/10.1007/s001480050113.
|
||||
125. Rosenzweig, Mark R., & Wolpin, Kenneth I. (1980a). Life-cycle labor supply and fertility: Causal inferences from household models. Journal of Political Economy, 88(2), 328–348. https://doi.org/10.1086/260868.
|
||||
126. Rosenzweig, M. R., & Wolpin, K. I. (1980b). Testing the quantity-quality fertility model – Use of twins as a natural experiment. Econometrica, 48(1), 227–240. https://doi.org/10.2307/1912026.
|
||||
127. Sen, A. (1989). Development as capabilities expansion. Journal of Development Planning, 19, 41–58.
|
||||
128. Stark, Laura (2018). Poverty, consent, and choice in early marriage: Ethnographic perspectives from urban tanzania. Marriage & Family Review, 54(6), 565–581. https://doi.org/10.1080/01494929.2017.1403998.
|
||||
129. Uribe, Ana Maria Tribin, Vargas, Carmiña O., & Bustamante, Natalia Ramírez (2019). Unintended consequences of maternity leave legislation: The case of Colombia. World Development, 122, 218–232. https://doi.org/10.1016/j.worlddev.2019.05.007.
|
||||
130. Vere, James Patrick (2007). ‘‘Having It All” No longer: Fertility, female labor supply, and the new life choices of generation X. Demography, 44(4), 821–828. https://doi.org/10.1353/dem.2007.0035.
|
||||
131. Verick, S. (2014). Female labor force participation in developing countries. IZA World of Labor, 87. https://doi.org/10.15185/izawol.87.
|
||||
132. Vollset, Stein Emil, Goren, Emily, Yuan, Chun-Wei, Cao, Jackie, Smith, Amanda E, Hsiao, Thomas, Bisignano, Catherine, Azhar, Gulrez S, Castro, Emma, Chalek, Julian, Dolgert, Andrew J, Frank, Tahvi, Fukutaki, Kai, Hay, Simon I, Lozano, Rafael, Mokdad, Ali H, Nandakumar, Vishnu, Pierce, Maxwell, Pletcher, Martin, Robalik, Toshana, Steuben, Krista M, Wunrow, Han Yong, Zlavog, Bianca S, & Murray, Christopher J L (2020). Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: A forecasting analysis for the Global Burden of Disease Study. Lancet, 396(10258), 1285–1306. https://doi.org/10.1016/S0140-6736(20)30677-2.
|
||||
133. Vyas, Seema, & Watts, Charlotte (2009). How does economic empowerment affect women’s risk of intimate partner violence in low and middle income countries? A systematic review of published evidence. Journal of International Development, 21(5), 577–602. https://doi.org/10.1002/jid.1500.
|
||||
134. Waldfogel, Jane (1998). Understanding the ‘Family Gap’ in Pay for Women with Children. Journal of Economic Perspectives, 12(1), 137–156. https://doi.org/10.1257/jep.12.1.137.
|
||||
135. We˛ziak-Białowolska, Dorota, Białowolski, Piotr, & McNeely, Eileen (2020). The impact of workplace harassment and domestic violence on work outcomes in the developing world. World Development, 126, 104732. https://doi.org/10.1016/j.worlddev.2019.104732.
|
||||
136. Wong, Rebeca, & Levine, Ruth E. (1992). The effect of household structure on Women’s economic activity and fertility: Evidence from recent mothers in Urban Mexico. Economic Development and Cultural Change, 41(1), 89–102. https://doi.org/10.1086/451997.
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|
|||
1. Abe, Y. (2011), "Regional variations in labor force behavior of women in Japan", Japan and the World Economy, Vol. 28 No. C, pp. 112-124.
|
||||
https://doi.org/10.1016/j.japwor.2013.08.004
|
||||
|
||||
2. Adriana, P. and Manolescu, I. (2006), "Gender discrimination in Romania", Journal of Organizational Change Management, Vol. 19 No. 6, pp. 766-771.
|
||||
https://doi.org/10.1108/09534810610708422
|
||||
|
||||
3. Aromolaran, A.B. (2008), "Female schooling and women's labor market participation in Nigeria", in Collier, P., Soludo, C. and Patillo, C. (Eds), Economic Policy Options for a Prosperous Nigeria, Palgrave Macmillan, New York, NY, pp. 397-428.
|
||||
https://doi.org/10.1057/9780230583191_17
|
||||
|
||||
4. Babchuk, N. and Booth, A. (1969), "Voluntary association membership: a longitudinal analysis", American Sociological Review, Vol. 34 No. 1, pp. 31-45.
|
||||
https://doi.org/10.2307/2092785
|
||||
|
||||
5. Berger, M.C. and Black, D.A. (1992), "Child care subsidies, quality of care, and labor supply of low-income single mothers", Review of Economics and Statistics, Vol. 74 No. 4, pp. 635-642.
|
||||
https://doi.org/10.2307/2109377
|
||||
|
||||
6. Billiava, N. and Nayak, N.S. (2016), "Empowerment of women representatives in Panchayat Raj institutions: a thematic review", Journal of Politics & Governance, Vol. 5 No. 4, pp. 5-18.
|
||||
https://doi.org/10.5958/2456-8023.2016.00001.2
|
||||
|
||||
7. Blau, D.M. and Hagy, A.P. (1998), "The demand for quality in child care", Journal of Political Economy, Vol. 106 No. 1, pp. 104-146.
|
||||
https://doi.org/10.1086/250004
|
||||
|
||||
8. Blau, F.D. and Kahn, L.M. (2000), "Gender differences in pay", The Journal of Economic Perspectives, Vol. 14 No. 4, pp. 75-99.
|
||||
https://doi.org/10.1257/jep.14.4.75
|
||||
|
||||
9. Bloom, D.E., Canning, D., Fink, G. and Finlay, J.E. (2009), "Fertility, female labor force participation, and the demographic dividend", Journal of Economic Growth, Vol. 14 No. 2, pp. 79-101.
|
||||
https://doi.org/10.1007/s10887-009-9039-9
|
||||
|
||||
10. Cagatay, N. and Ozler, S. (1995), "Feminization of the labor force: the effects of long-term development and structural adjustment", World Development, Vol. 23 No. 11, pp. 1883-1894.
|
||||
https://doi.org/10.1016/0305-750X(95)00086-R
|
||||
|
||||
11. Cai, L. (2010), "Evidence from a panel data simultaneous equation model", Labor Economics, Vol. 17 No. 1, pp. 77-90.
|
||||
https://doi.org/10.1016/j.labeco.2009.04.001
|
||||
|
||||
12. Caldwell, J.C. (1978), "A theory of fertility: from high plateau to destabilization", Population and Development Review, Vol. 4 No. 4, pp. 553-577.
|
||||
https://doi.org/10.2307/1971727
|
||||
|
||||
13. Cameron, L.A., Dowling, J.M. and Worswick, C. (2001), Education and Labour Market Participation of Women in Asia: Evidence from Five Countries, University of Chicago, Chicago, IL.
|
||||
https://doi.org/10.1086/452511
|
||||
|
||||
14. Cerrutti, M. (2000), "Economic reform, structural adjustment and female labor force participation in Buenos Aires, Argentina", World Development, Vol. 28 No. 5, pp. 879-891.
|
||||
https://doi.org/10.1016/S0305-750X(99)00163-1
|
||||
|
||||
15. Chen, M. and Dreze, J. (1992), "Widows and health in rural north India", Economic and Political Weekly, Vol. 27 No. 43-44, pp. 24-31.
|
||||
|
||||
16. Chevalier, A. and Viitanen, T.K. (2010), "The casualty between female labor force participation and the availability of childcare", Applied Economic Letters, Vol. 9 No. 14, pp. 915-918.
|
||||
https://doi.org/10.1080/13504850210138469
|
||||
|
||||
17. Connelley, R. (1992), "The effect of child care costs on married women's labor force participation", The Review of Economics and Statistics, Vol. 74 No. 1, pp. 83-90.
|
||||
https://doi.org/10.2307/2109545
|
||||
|
||||
18. Connelley, R. and Kimmel, J. (2010), "Marital status and full-time/part-time work status in child care choices", Applied Economics, Vol. 35 No. 7, pp. 761-777.
|
||||
https://doi.org/10.1080/0003684022000020841
|
||||
|
||||
19. Cutler, S.J. (1976), "Age differences in voluntary association membership", Social Forces, Vol. 55 No. 1, pp. 43-58.
|
||||
https://doi.org/10.2307/2577092
|
||||
|
||||
20. Edwards, P.K., Edwards, J.N. and Watts, A.D. (1981), "Women, work, and social participation", Journal of Voluntary Action Research, Vol. 13 No. 1, pp. 7-22.
|
||||
https://doi.org/10.1177/089976408401300103
|
||||
|
||||
21. Elborgh-Woytek, K., Newiak, M., Kochhar, K., Fabrizio, S., Kpodar, K., Wingender, P., Clements, B. and Schwartz, G. (2013), "Women, work, and the economy: macroeconomic gains from gender equity", IMF Staff Discussion Note, September.
|
||||
https://doi.org/10.5089/9781475566567.006
|
||||
|
||||
22. Fatima, A. and Sultana, H. (2009), "Tracing out the U-shape relationship between female labor force participation rate and economic development for Pakistan", International Journal of Social Economics, Vol. 36 Nos 1/2, pp. 182-198.
|
||||
https://doi.org/10.1108/03068290910921253
|
||||
|
||||
23. Gaddis, I. and Klasen, S. (2011), "A re-assessment of the feminization U-hypothesis", CRC Discussion Paper No. 71, University of Gottingen, Gottingen, Lower Saxony.
|
||||
|
||||
24. Gelbach, I. (2002), "Public schooling for young children and maternal labor supply", American Economic Review, Vol. 92 No. 1, pp. 307-322.
|
||||
https://doi.org/10.1257/000282802760015748
|
||||
|
||||
25. Gilbert, G.R., Burnett, M.F., Phau, I. and Haar, J. (2010), "Does gender matter? A review of work related gender commonalities", Gender in Management: An International Journal, Vol. 25 No. 8, pp. 676-699.
|
||||
https://doi.org/10.1108/17542411011092336
|
||||
|
||||
26. Goldin, C. (1994), "The U-shaped female labor force function in economic development and economic history", NBER Working Paper No. 4707, Cambridge.
|
||||
https://doi.org/10.3386/w4707
|
||||
|
||||
27. Güven-Lisaniler, F. and Bhatti, F. (2005), "Determinants of female labor force participation: a study of North Cyprus", Review of Social, Economic and Business Studies, Vol. 5 No. 6, pp. 209-226.
|
||||
|
||||
28. Haller, M. and Hoellinger, F. (1994), "Female employment and the change of gender roles: the conflictual relationship between participation and attitudes in international comparison", International Sociology, Vol. 9 No. 1, pp. 87-112.
|
||||
https://doi.org/10.1177/026858094009001006
|
||||
|
||||
29. Hartani, N.H., Bakar, N.A.A. and Haseeb, M. (2015), "The nexus between female labor force participation and female total fertility rate in selected ASEAN countries: Panel cointegration approach", Modern Applied Science, Vol. 9 No. 8, pp. 29-39.
|
||||
https://doi.org/10.5539/mas.v9n8p29
|
||||
|
||||
30. Hausknecht, M. (1962), The Joiners: A Sociological Description of Voluntary Association Membership in the United States, Bedminster Press, New York, NY.
|
||||
|
||||
31. Herbst, C.M. (2008), "Who are the eligible non-recipients of child care subsidies?", Children and Youth Services Review, Vol. 30 No. 9, pp. 1037-1054.
|
||||
https://doi.org/10.1016/j.childyouth.2008.01.003
|
||||
|
||||
32. Herbst, M.H. and Tekin, E. (2011), "Do child care subsidies influence single mother's decision to invest in human capital?", Economics of Education Review, Vol. 30 No. 5, pp. 901-912.
|
||||
https://doi.org/10.1016/j.econedurev.2011.03.006
|
||||
|
||||
33. Hofstede, G. (1980), "Motivation, leadership and organization: do American theories apply abroad", Organizational Dynamics, Vol. 9, pp. 42-63.
|
||||
https://doi.org/10.1016/0090-2616(80)90013-3
|
||||
|
||||
34. Hofstede, G. (2001), Cultures Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations, 2nd ed., Sage, Thousand Oaks, CA.
|
||||
|
||||
35. Hosgor, A.G. and Smiths, J. (2008), "Variation in labor market participation of married women in Turkey", Women's Studies International Forum, Vol. 31 No. 2, pp. 104-117.
|
||||
https://doi.org/10.1016/j.wsif.2008.03.003
|
||||
|
||||
36. House, R.J., Hanges, P.J., Javidan, M., Dorfman, P.W. and Gupta, V. (2004), Culture, Leadership, and Organizations: The GLOBE Study of 62 Societies, Sage, Thousand Oaks, CA.
|
||||
|
||||
37. ILO (2006), LABORSTA, Economic Active Population Estimates and Projections, 4th ed., International Labor Office, Geneva.
|
||||
|
||||
38. Ince, M. (2010), "How the education affects female labor force? Empirical evidence from Turkey", Procedia-Social and Behavioral Sciences, Vol. 2 No. 2, pp. 634-639.
|
||||
https://doi.org/10.1016/j.sbspro.2010.03.076
|
||||
|
||||
39. Jaumotte, F. (2003), "Female labor force participation: past trends and main determinants in OECD countries", OECD Economics Department Working Papers No. 376, OECD Publishing.
|
||||
https://doi.org/10.2139/ssrn.2344556
|
||||
|
||||
40. Jaumotte, F. (2004), "Labor force participation of women: empirical evidence on the role of public policy and other OECD countries", OECD Economic Studies, Vol. 9 No. 2, pp. 51-108.
|
||||
https://doi.org/10.1787/eco_studies-v2003-art9-en
|
||||
|
||||
41. Kandiyoti, D. (1988), "Bargaining with patriarchy", Gender and Society, Vol. 2, pp. 274-289.
|
||||
https://doi.org/10.1177/089124388002003004
|
||||
|
||||
42. Kingdon, G.G. and Unni, J. (2001), "Education and women's labor market outcomes in India", Education Economics, Vol. 9 No. 2, pp. 173-195.
|
||||
https://doi.org/10.1080/09645290110056994
|
||||
|
||||
43. Kingdon, G.G. and Unni, J. (2010), "Education and women's labor market outcomes in India", Education Economics, Vol. 9 No. 2, pp. 173-195.
|
||||
https://doi.org/10.1080/09645290110056994
|
||||
|
||||
44. Klasen, S. and Pieters, J. (2012), "Push or pull? Drivers of female labor force participation during India's economic boom", discussion paper series, Forschungsinstitut zur Zukunft der Arbeit No. 6395.
|
||||
https://doi.org/10.2139/ssrn.2019447
|
||||
|
||||
45. Lahoti, R. and Swaminathan, H. (2013), "Push or pull? Drivers of female labor force participation during India's economic boom", Working Paper No. 414, IIM, Bangalore.
|
||||
|
||||
46. Lee, K.W. and Chao, K. (2005), "Female labor force participation during economic crises in Argentina and the Republic of Korea", International Labor Review, Vol. 144 No. 4, pp. 423-450.
|
||||
https://doi.org/10.1111/j.1564-913X.2005.tb00576.x
|
||||
|
||||
47. Luci, A. (2009), "Female labor market participation and economic growth", International Journal of Innovation and Sustainable Development, Vol. 4 Nos 2-3, pp. 109-122.
|
||||
https://doi.org/10.1504/IJISD.2009.028065
|
||||
|
||||
48. Mammen, K. and Paxson, C. (2000), "Women's work and economic development", Journal of Economic Perspectives, Vol. 14 No. 4, pp. 141-164.
|
||||
https://doi.org/10.1257/jep.14.4.141
|
||||
|
||||
49. Mishra, V. and Smyth, R. (2010), "Female labor force participation and total fertility rates in the OECD: new evidence from panel cointegration and Granger causality testing", Journal of Economics and Business, Vol. 62 No. 1, pp. 48-64.
|
||||
https://doi.org/10.1016/j.jeconbus.2009.07.006
|
||||
|
||||
50. Moghadam, V.M. (2004), "Patriarchy in transition: women and the changing family in the middle east", Journal of Comparative Family Studies, Vol. 35 No. 2, pp. 137-162.
|
||||
https://doi.org/10.3138/jcfs.35.2.137
|
||||
|
||||
51. Pampel, F.C. and Tanaka, K. (1986), "Economic development and female labor force participation: a reconsideration", Social Forces, Vol. 64 No. 3, pp. 599-619.
|
||||
https://doi.org/10.2307/2578815
|
||||
|
||||
52. Parboteeah, K.P., Hoegl, M. and Cullen, J.B. (2008), "Manager's gender role attitudes: a country institutional profile approach", Journal of International Business Studies, Vol. 39, pp. 795-813.
|
||||
https://doi.org/10.1057/palgrave.jibs.8400384
|
||||
|
||||
53. Psacharopoulos, G. and Tzannatos, Z. (1989), "Female labor force participation: an international perspective", The World Bank Research Observer, Vol. 4 No. 2, pp. 187-201.
|
||||
https://doi.org/10.1093/wbro/4.2.187
|
||||
|
||||
54. Raynor, J.L. (2007), "Comparative civilian labor force statistics, 10 countries: a visual essay", Monthly Labor Review, Vol. 130 No. 12, pp. 32-37.
|
||||
|
||||
55. Roopnarine, K.A. and Ramratan, D. (2012), "Female labor force participation: the case of Trinidad and Tobago", World Journal of Entrepreneurship, Management and Sustainable Development, Vol. 8 Nos 2/3, pp. 183-193.
|
||||
https://doi.org/10.1108/20425961211247789
|
||||
|
||||
56. Sanghi, S., Srija, A. and Vijay, S.S. (2015), "Decline in rural female labor force participation in India: a relook into the causes", VIKALPA: The Journal for Decision Makers, Vol. 40 No. 3, pp. 255-268.
|
||||
https://doi.org/10.1177/0256090915598264
|
||||
|
||||
57. Schultz, T.P. (1990), "Women's changing participation in the labor force: a world perspective", Economic Development and Cultural Change, Vol. 38 No. 3, pp. 458-488.
|
||||
https://doi.org/10.1086/451811
|
||||
|
||||
58. Schultz, T.P. (2002), "Why governments should invest more to educate girls", World Development, Vol. 30 No. 2, pp. 207-225.
|
||||
https://doi.org/10.1016/S0305-750X(01)00107-3
|
||||
|
||||
59. Shin, J. and Moon, S. (2006), "Fertility, relative wages, and labor market decisions: a case of female teaches", Economics of Education Review, Vol. 25 No. 6, pp. 591-604.
|
||||
https://doi.org/10.1016/j.econedurev.2005.06.004
|
||||
|
||||
60. Smith, A. (1776), The Wealth of Nations, Modern Library, New York, NY, reprinted 1937.
|
||||
|
||||
61. Srivastava, N. and Srivastava, R. (2010), "Women, work, and employment outcome in rural India", Economic and Political Weekly, Vol. 45 No. 28, pp. 49-63.
|
||||
|
||||
62. Stedham, Y.E. and Yamamura, J.H. (2004), "Measuring national culture: does gender matter?", Women in Management Review, Vol. 19 No. 4, pp. 233-243.
|
||||
https://doi.org/10.1108/09649420410545953
|
||||
|
||||
63. Sundstorm, M. and Stafford, F.P. (1992), "Female labor force participation, fertility and public policy in Sweden", European Journal of Population, Vol. 8 No. 3, pp. 199-2015.
|
||||
https://doi.org/10.1007/BF01797210
|
||||
|
||||
64. Tam, H. (2011), "U-shaped female labor participation with economic development: some panel data evidence", Economic Letters, Vol. 110 No. 2, pp. 140-142.
|
||||
https://doi.org/10.1016/j.econlet.2010.11.003
|
||||
|
||||
65. Tandrayen-Ragoobur, V. and Pydayya, R. (2016), "Gender wage differential in private and public sector employment-a distributional analysis for Mauritius", Gender in Management: An International Journal, Vol. 31 No. 3, pp. 222-248.
|
||||
https://doi.org/10.1108/GM-08-2014-0071
|
||||
|
||||
66. Tansel, A. (2002), "Economic development and female labor force participation in Turkey: Time-series evidence and cross-province estimates", ERC Working Papers in Economics, 1/5, Middle East Technical University, Turkey, pp. 1-37.
|
||||
https://doi.org/10.2139/ssrn.301946
|
||||
|
||||
67. Tekin, E. (2005), "Child care subsidy receipt, employment, and child care choices of single mothers", Economic Letters, Vol. 89 No. 1, pp. 1-6.
|
||||
https://doi.org/10.1016/j.econlet.2005.03.005
|
||||
|
||||
68. Tsani, S., Paroussos, L., Fragiadakis, C. and Charalambidis, L. (2013), "Female labor force participation and economic growth in the South Medierranean countries", Economic Letters, Vol. 120 No. 2, pp. 323-328.
|
||||
https://doi.org/10.1016/j.econlet.2013.04.043
|
||||
|
||||
69. UN (2007), "Social indicators", United Nations Statistics Divisions, available at: http://unstats.un.org/unsd
|
||||
|
||||
70. Verick, S. (2014), "Female labour force participation in developing countries", International Labour Organisation, IZA.
|
||||
https://doi.org/10.15185/izawol.87
|
||||
|
||||
71. Vlasblom, J.D. and Schippers, J.J. (2004), "Increases in female labor force participation in Europe: similarities and differences", European Journal of Population, Vol. 20 No. 40, pp. 375-392.
|
||||
https://doi.org/10.1007/s10680-004-5302-0
|
||||
|
||||
72. Weiss, J.A., Ramirez, F.O. and Tracy, T (1978), "Female participation in the occupational system: a comparative institutional analysis", Social Problems, Vol. 23 No. 5, pp. 593-608.
|
||||
https://doi.org/10.2307/800481
|
||||
|
||||
73. Xiong, Y. and Zhang, J. (2017), "Influence of land use and transport policies on women's labor participation and life choices", in Zhang, J. (Ed.), Life-Oriented Behavioral Research for Urban Policy, Springer, pp. 243-265.
|
||||
https://doi.org/10.1007/978-4-431-56472-0_9
|
||||
|
||||
74. Zhand, W.B. (1993), "A woman's labor participation and economic growth: creativity, knowledge utilization and family preference", Economic Letters, Vol. 42 No. 1, pp. 105-110.
|
||||
https://doi.org/10.1016/0165-1765(93)90181-B
|
62
02-data/raw/02_snowballing-starts/Kumari2018/DOIs_only.txt
Normal file
62
02-data/raw/02_snowballing-starts/Kumari2018/DOIs_only.txt
Normal file
|
@ -0,0 +1,62 @@
|
|||
https://doi.org/10.1016/j.japwor.2013.08.004
|
||||
https://doi.org/10.1108/09534810610708422
|
||||
https://doi.org/10.1057/9780230583191_17
|
||||
https://doi.org/10.2307/2092785
|
||||
https://doi.org/10.2307/2109377
|
||||
https://doi.org/10.5958/2456-8023.2016.00001.2
|
||||
https://doi.org/10.1086/250004
|
||||
https://doi.org/10.1257/jep.14.4.75
|
||||
https://doi.org/10.1007/s10887-009-9039-9
|
||||
https://doi.org/10.1016/0305-750X(95)00086-R
|
||||
https://doi.org/10.1016/j.labeco.2009.04.001
|
||||
https://doi.org/10.2307/1971727
|
||||
https://doi.org/10.1086/452511
|
||||
https://doi.org/10.1016/S0305-750X(99)00163-1
|
||||
https://doi.org/10.1080/13504850210138469
|
||||
https://doi.org/10.2307/2109545
|
||||
https://doi.org/10.1080/0003684022000020841
|
||||
https://doi.org/10.2307/2577092
|
||||
https://doi.org/10.1177/089976408401300103
|
||||
https://doi.org/10.5089/9781475566567.006
|
||||
https://doi.org/10.1108/03068290910921253
|
||||
https://doi.org/10.1257/000282802760015748
|
||||
https://doi.org/10.1108/17542411011092336
|
||||
https://doi.org/10.3386/w4707
|
||||
https://doi.org/10.1177/026858094009001006
|
||||
https://doi.org/10.5539/mas.v9n8p29
|
||||
https://doi.org/10.1016/j.childyouth.2008.01.003
|
||||
https://doi.org/10.1016/j.econedurev.2011.03.006
|
||||
https://doi.org/10.1016/0090-2616(80)90013-3
|
||||
https://doi.org/10.1016/j.wsif.2008.03.003
|
||||
https://doi.org/10.1016/j.sbspro.2010.03.076
|
||||
https://doi.org/10.2139/ssrn.2344556
|
||||
https://doi.org/10.1787/eco_studies-v2003-art9-en
|
||||
https://doi.org/10.1177/089124388002003004
|
||||
https://doi.org/10.1080/09645290110056994
|
||||
https://doi.org/10.1080/09645290110056994
|
||||
https://doi.org/10.2139/ssrn.2019447
|
||||
https://doi.org/10.1111/j.1564-913X.2005.tb00576.x
|
||||
https://doi.org/10.1504/IJISD.2009.028065
|
||||
https://doi.org/10.1257/jep.14.4.141
|
||||
https://doi.org/10.1016/j.jeconbus.2009.07.006
|
||||
https://doi.org/10.3138/jcfs.35.2.137
|
||||
https://doi.org/10.2307/2578815
|
||||
https://doi.org/10.1057/palgrave.jibs.8400384
|
||||
https://doi.org/10.1093/wbro/4.2.187
|
||||
https://doi.org/10.1108/20425961211247789
|
||||
https://doi.org/10.1177/0256090915598264
|
||||
https://doi.org/10.1086/451811
|
||||
https://doi.org/10.1016/S0305-750X(01)00107-3
|
||||
https://doi.org/10.1016/j.econedurev.2005.06.004
|
||||
https://doi.org/10.1108/09649420410545953
|
||||
https://doi.org/10.1007/BF01797210
|
||||
https://doi.org/10.1016/j.econlet.2010.11.003
|
||||
https://doi.org/10.1108/GM-08-2014-0071
|
||||
https://doi.org/10.2139/ssrn.301946
|
||||
https://doi.org/10.1016/j.econlet.2005.03.005
|
||||
https://doi.org/10.1016/j.econlet.2013.04.043
|
||||
https://doi.org/10.15185/izawol.87
|
||||
https://doi.org/10.1007/s10680-004-5302-0
|
||||
https://doi.org/10.2307/800481
|
||||
https://doi.org/10.1007/978-4-431-56472-0_9
|
||||
https://doi.org/10.1016/0165-1765(93)90181-B
|
74
02-data/raw/02_snowballing-starts/Kumari2018/references.txt
Normal file
74
02-data/raw/02_snowballing-starts/Kumari2018/references.txt
Normal file
|
@ -0,0 +1,74 @@
|
|||
1. Abe, Y. (2011), “Regional variations in labor force behavior of women in Japan”, Japan and the World Economy, Vol. 28 No. C, pp. 112-124.
|
||||
2. Adriana, P. and Manolescu, I. (2006), “Gender discrimination in Romania”, Journal of Organizational Change Management, Vol. 19 No. 6, pp. 766-771.
|
||||
3. Aromolaran, A.B. (2008), “Female schooling and women’s labor market participation in Nigeria”, in Collier, P., Soludo, C. and Patillo, C. (Eds), Economic Policy Options for a Prosperous Nigeria, Palgrave Macmillan, New York, NY, pp. 397-428.
|
||||
4. Babchuk, N. and Booth, A. (1969), “Voluntary association membership: a longitudinal analysis”, American Sociological Review, Vol. 34 No. 1, pp. 31-45.
|
||||
5. Berger, M.C. and Black, D.A. (1992), “Child care subsidies, quality of care, and labor supply of low-income single mothers”, Review of Economics and Statistics, Vol. 74 No. 4, pp. 635-642.
|
||||
6. Billiava, N. and Nayak, N.S. (2016), “Empowerment of women representatives in Panchayat Raj institutions: a thematic review”, Journal of Politics & Governance, Vol. 5 No. 4, pp. 5-18.
|
||||
7. Blau, D.M. and Hagy, A.P. (1998), “The demand for quality in child care”, Journal of Political Economy, Vol. 106 No. 1, pp. 104-146.
|
||||
8. Blau, F.D. and Kahn, L.M. (2000), “Gender differences in pay”, The Journal of Economic Perspectives, Vol. 14 No. 4, pp. 75-99.
|
||||
9. Bloom, D.E., Canning, D., Fink, G. and Finlay, J.E. (2009), “Fertility, female labor force participation, and the demographic dividend”, Journal of Economic Growth, Vol. 14 No. 2, pp. 79-101.
|
||||
10. Cagatay, N. and Ozler, S. (1995), “Feminization of the labor force: the effects of long-term development and structural adjustment”, World Development, Vol. 23 No. 11, pp. 1883-1894.
|
||||
11. Cai, L. (2010), “Evidence from a panel data simultaneous equation model”, Labor Economics, Vol. 17 No. 1, pp. 77-90.
|
||||
12. Caldwell, J.C. (1978), “A theory of fertility: from high plateau to destabilization”, Population and Development Review, Vol. 4 No. 4, pp. 553-577.
|
||||
13. Cameron, L.A., Dowling, J.M. and Worswick, C. (2001), Education and Labour Market Participation of Women in Asia: Evidence from Five Countries, University of Chicago, Chicago, IL.
|
||||
14. Cerrutti, M. (2000), “Economic reform, structural adjustment and female labor force participation in Buenos Aires, Argentina”, World Development, Vol. 28 No. 5, pp. 879-891.
|
||||
15. Chen, M. and Dreze, J. (1992), “Widows and health in rural north India”, Economic and Political Weekly, Vol. 27 No. 43-44, pp. 24-31.
|
||||
16. Chevalier, A. and Viitanen, T.K. (2010), “The casualty between female labor force participation and the availability of childcare”, Applied Economic Letters, Vol. 9 No. 14, pp. 915-918.
|
||||
17. Connelley, R. (1992), “The effect of child care costs on married women’s labor force participation”, The Review of Economics and Statistics, Vol. 74 No. 1, pp. 83-90.
|
||||
18. Connelley, R. and Kimmel, J. (2010), “Marital status and full-time/part-time work status in child care choices”, Applied Economics, Vol. 35 No. 7, pp. 761-777.
|
||||
19. Cutler, S.J. (1976), “Age differences in voluntary association membership”, Social Forces, Vol. 55 No. 1, pp. 43-58.
|
||||
20. Edwards, P.K., Edwards, J.N. and Watts, A.D. (1981), “Women, work, and social participation”, Journal of Voluntary Action Research, Vol. 13 No. 1, pp. 7-22.
|
||||
21. Elborgh-Woytek, K., Newiak, M., Kochhar, K., Fabrizio, S., Kpodar, K., Wingender, P., Clements, B. and Schwartz, G. (2013), “Women, work, and the economy: macroeconomic gains from gender equity”, IMF Staff Discussion Note, September.
|
||||
22. Fatima, A. and Sultana, H. (2009), “Tracing out the U-shape relationship between female labor force participation rate and economic development for Pakistan”, International Journal of Social Economics, Vol. 36 Nos 1/2, pp. 182-198.
|
||||
23. Gaddis, I. and Klasen, S. (2011), “A re-assessment of the feminization U-hypothesis”, CRC Discussion Paper No. 71, University of Gottingen, Gottingen, Lower Saxony.
|
||||
24. Gelbach, I. (2002), “Public schooling for young children and maternal labor supply”, American Economic Review, Vol. 92 No. 1, pp. 307-322.
|
||||
25. Gilbert, G.R., Burnett, M.F., Phau, I. and Haar, J. (2010), “Does gender matter? A review of work related gender commonalities”, Gender in Management: An International Journal, Vol. 25 No. 8, pp. 676-699.
|
||||
26. Goldin, C. (1994), “The U-shaped female labor force function in economic development and economic history”, NBER Working Paper No. 4707, Cambridge.
|
||||
27. Güven-Lisaniler, F. and Bhatti, F. (2005), “Determinants of female labor force participation: a study of North Cyprus”, Review of Social, Economic and Business Studies, Vol. 5 No. 6, pp. 209-226.
|
||||
28. Haller, M. and Hoellinger, F. (1994), “Female employment and the change of gender roles: the conflictual relationship between participation and attitudes in international comparison”, International Sociology, Vol. 9 No. 1, pp. 87-112.
|
||||
29. Hartani, N.H., Bakar, N.A.A. and Haseeb, M. (2015), “The nexus between female labor force participation and female total fertility rate in selected ASEAN countries: Panel cointegration approach”, Modern Applied Science, Vol. 9 No. 8, pp. 29-39.
|
||||
30. Hausknecht, M. (1962), The Joiners: A Sociological Description of Voluntary Association Membership in the United States, Bedminster Press, New York, NY.
|
||||
31. Herbst, C.M. (2008), “Who are the eligible non-recipients of child care subsidies?”, Children and Youth Services Review, Vol. 30 No. 9, pp. 1037-1054.
|
||||
32. Herbst, M.H. and Tekin, E. (2011), “Do child care subsidies influence single mother’s decision to invest in human capital?”, Economics of Education Review, Vol. 30 No. 5, pp. 901-912.
|
||||
33. Hofstede, G. (1980), “Motivation, leadership and organization: do American theories apply abroad”, Organizational Dynamics, Vol. 9, pp. 42-63.
|
||||
34. Hofstede, G. (2001), Cultures Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations, 2nd ed., Sage, Thousand Oaks, CA.
|
||||
35. Hosgor, A.G. and Smiths, J. (2008), “Variation in labor market participation of married women in Turkey”, Women’s Studies International Forum, Vol. 31 No. 2, pp. 104-117.
|
||||
36. House, R.J., Hanges, P.J., Javidan, M., Dorfman, P.W. and Gupta, V. (2004), Culture, Leadership, and Organizations: The GLOBE Study of 62 Societies, Sage, Thousand Oaks, CA.
|
||||
37. ILO (2006), LABORSTA, Economic Active Population Estimates and Projections, 4th ed., International Labor Office, Geneva.
|
||||
38. Ince, M. (2010), “How the education affects female labor force? Empirical evidence from Turkey”, Procedia-Social and Behavioral Sciences, Vol. 2 No. 2, pp. 634-639.
|
||||
39. Jaumotte, F. (2003), “Female labor force participation: past trends and main determinants in OECD countries”, OECD Economics Department Working Papers No. 376, OECD Publishing.
|
||||
40. Jaumotte, F. (2004), “Labor force participation of women: empirical evidence on the role of public policy and other OECD countries”, OECD Economic Studies, Vol. 9 No. 2, pp. 51-108.
|
||||
41. Kandiyoti, D. (1988), “Bargaining with patriarchy”, Gender and Society, Vol. 2, pp. 274-289.
|
||||
42. Kingdon, G.G. and Unni, J. (2001), “Education and women’s labor market outcomes in India”, Education Economics, Vol. 9 No. 2, pp. 173-195.
|
||||
43. Kingdon, G.G. and Unni, J. (2010), “Education and women’s labor market outcomes in India”, Education Economics, Vol. 9 No. 2, pp. 173-195.
|
||||
44. Klasen, S. and Pieters, J. (2012), “Push or pull? Drivers of female labor force participation during India’s economic boom”, discussion paper series, Forschungsinstitut zur Zukunft der Arbeit No. 6395.
|
||||
45. Lahoti, R. and Swaminathan, H. (2013), “Push or pull? Drivers of female labor force participation during India’s economic boom”, Working Paper No. 414, IIM, Bangalore.
|
||||
46. Lee, K.W. and Chao, K. (2005), “Female labor force participation during economic crises in Argentina and the Republic of Korea”, International Labor Review, Vol. 144 No. 4, pp. 423-450.
|
||||
47. Luci, A. (2009), “Female labor market participation and economic growth”, International Journal of Innovation and Sustainable Development, Vol. 4 Nos 2-3, pp. 109-122.
|
||||
48. Mammen, K. and Paxson, C. (2000), “Women’s work and economic development”, Journal of Economic Perspectives, Vol. 14 No. 4, pp. 141-164.
|
||||
49. Mishra, V. and Smyth, R. (2010), “Female labor force participation and total fertility rates in the OECD: new evidence from panel cointegration and Granger causality testing”, Journal of Economics and Business, Vol. 62 No. 1, pp. 48-64.
|
||||
50. Moghadam, V.M. (2004), “Patriarchy in transition: women and the changing family in the middle east”, Journal of Comparative Family Studies, Vol. 35 No. 2, pp. 137-162.
|
||||
51. Pampel, F.C. and Tanaka, K. (1986), “Economic development and female labor force participation: a reconsideration”, Social Forces, Vol. 64 No. 3, pp. 599-619.
|
||||
52. Parboteeah, K.P., Hoegl, M. and Cullen, J.B. (2008), “Manager’s gender role attitudes: a country institutional profile approach”, Journal of International Business Studies, Vol. 39, pp. 795-813.
|
||||
53. Psacharopoulos, G. and Tzannatos, Z. (1989), “Female labor force participation: an international perspective”, The World Bank Research Observer, Vol. 4 No. 2, pp. 187-201.
|
||||
54. Raynor, J.L. (2007), “Comparative civilian labor force statistics, 10 countries: a visual essay”, Monthly Labor Review, Vol. 130 No. 12, pp. 32-37.
|
||||
55. Roopnarine, K.A. and Ramratan, D. (2012), “Female labor force participation: the case of Trinidad and Tobago”, World Journal of Entrepreneurship, Management and Sustainable Development, Vol. 8 Nos 2/3, pp. 183-193.
|
||||
56. Sanghi, S., Srija, A. and Vijay, S.S. (2015), “Decline in rural female labor force participation in India: a relook into the causes”, VIKALPA: The Journal for Decision Makers, Vol. 40 No. 3, pp. 255-268.
|
||||
57. Schultz, T.P. (1990), “Women’s changing participation in the labor force: a world perspective”, Economic Development and Cultural Change, Vol. 38 No. 3, pp. 458-488.
|
||||
58. Schultz, T.P. (2002), “Why governments should invest more to educate girls”, World Development, Vol. 30 No. 2, pp. 207-225.
|
||||
59. Shin, J. and Moon, S. (2006), “Fertility, relative wages, and labor market decisions: a case of female teaches”, Economics of Education Review, Vol. 25 No. 6, pp. 591-604.
|
||||
60. Smith, A. (1776), The Wealth of Nations, Modern Library, New York, NY, reprinted 1937.
|
||||
61. Srivastava, N. and Srivastava, R. (2010), “Women, work, and employment outcome in rural India”, Economic and Political Weekly, Vol. 45 No. 28, pp. 49-63.
|
||||
62. Stedham, Y.E. and Yamamura, J.H. (2004), “Measuring national culture: does gender matter?”, Women in Management Review, Vol. 19 No. 4, pp. 233-243.
|
||||
63. Sundstorm, M. and Stafford, F.P. (1992), “Female labor force participation, fertility and public policy in Sweden”, European Journal of Population, Vol. 8 No. 3, pp. 199-2015.
|
||||
64. Tam, H. (2011), “U-shaped female labor participation with economic development: some panel data evidence”, Economic Letters, Vol. 110 No. 2, pp. 140-142.
|
||||
65. Tandrayen-Ragoobur, V. and Pydayya, R. (2016), “Gender wage differential in private and public sector employment-a distributional analysis for Mauritius”, Gender in Management: An International Journal, Vol. 31 No. 3, pp. 222-248.
|
||||
66. Tansel, A. (2002), “Economic development and female labor force participation in Turkey: Time-series evidence and cross-province estimates”, ERC Working Papers in Economics, 1/5, Middle East Technical University, Turkey, pp. 1-37.
|
||||
67. Tekin, E. (2005), “Child care subsidy receipt, employment, and child care choices of single mothers”, Economic Letters, Vol. 89 No. 1, pp. 1-6.
|
||||
68. Tsani, S., Paroussos, L., Fragiadakis, C. and Charalambidis, L. (2013), “Female labor force participation and economic growth in the South Medierranean countries”, Economic Letters, Vol. 120 No. 2, pp. 323-328.
|
||||
69. UN (2007), “Social indicators”, United Nations Statistics Divisions, available at: http://unstats.un.org/unsd
|
||||
70. Verick, S. (2014), “Female labour force participation in developing countries”, International Labour Organisation, IZA.
|
||||
71. Vlasblom, J.D. and Schippers, J.J. (2004), “Increases in female labor force participation in Europe: similarities and differences”, European Journal of Population, Vol. 20 No. 40, pp. 375-392.
|
||||
72. Weiss, J.A., Ramirez, F.O. and Tracy, T (1978), “Female participation in the occupational system: a comparative institutional analysis”, Social Problems, Vol. 23 No. 5, pp. 593-608.
|
||||
73. Xiong, Y. and Zhang, J. (2017), “Influence of land use and transport policies on women’s labor participation and life choices”, in Zhang, J. (Ed.), Life-Oriented Behavioral Research for Urban Policy, Springer, pp. 243-265.
|
||||
74. Zhand, W.B. (1993), “A woman’s labor participation and economic growth: creativity, knowledge utilization and family preference”, Economic Letters, Vol. 42 No. 1, pp. 105-110.
|
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|
|||
1. Bisello M, Mascherini M. The gender employment gap: costs and policy responses. Intereconomics. 2017;52(1):24-27.
|
||||
https://doi.org/10.1007/s10272-017-0638-y
|
||||
|
||||
2. World Bank. Gender differences in employment and why they matter. In: World development report 2012: gender equality and development 2012. https://elibrary.worldbank.org/doi/ abs/10.1596/9780821388105_ch5. Accessed 22 June 2017.
|
||||
|
||||
3. Bishu SG, Alkadry MG. A systematic review of the gender pay gap and factors that predict it. Adm Soc. 2016;49(1):65-104.
|
||||
https://doi.org/10.1177/0095399716636928
|
||||
|
||||
4. US Department of Labor. BLS spotlight on statistics: women at work. 2011 employment and why they matter. In: World development report 2012: gender equality and development 2012. https:// elibrary.worldbank.org/doi/abs/10.1596/9780821388105_ch5. Accessed 22 Jun 2017.
|
||||
|
||||
5. Graham JW, Smith SA. Gender differences in employment and earnings in science and engineering in the us. Econ Educ Rev. 2005;24(3):341-354.
|
||||
https://doi.org/10.1016/j.econedurev.2004.06.005
|
||||
|
||||
6. Joshi A, Son J, Roh H. When can women close the gap? A metaanalytic test of sex differences in performance and rewards. Acad Manag J. 2015;58(5):1516-1545.
|
||||
https://doi.org/10.5465/amj.2013.0721
|
||||
|
||||
7. Lindstrom L, Harwick RM, Poppen M, Doren B. Gender gaps: career development for young women with disabilities. Career Dev Trans Except Individ. 2012;35(2):108-117.
|
||||
https://doi.org/10.1177/2165143412437737
|
||||
|
||||
8. World Health Organization. International classification of functioning, disability, and health: children & youth version. 2007. http:// apps.who.int/iris/bitstream/10665/43737/1/9789241547321_eng. pdf. Accessed 4 Aug 2015
|
||||
|
||||
9. Mwachofi AK. Gender difference in access and intervention outcomes: the case for women with disabilities. Disabil Rehab. 2009;31(9):693-700.
|
||||
https://doi.org/10.1080/09638280802305929
|
||||
|
||||
10. Doren B, Lombardi AR, Clark J, Lindstrom L. Addressing career barriers for high risk adolescent girls: the paths curriculum intervention. J Adolesc. 2013;36(6):1083-1092.
|
||||
https://doi.org/10.1016/j.adolescence.2013.08.014
|
||||
|
||||
11. Lindsay S, Adams T, McDougall C, Sanford R. Skill development in an employment-training program for adolescents with disabilities. Disabil Rehab. 2012;34(3):228-237.
|
||||
https://doi.org/10.3109/09638288.2011.603015
|
||||
|
||||
12. Lindsay S, McDougall C, Sanford R. Disclosure, accommodations and self-care at work among adolescents with disabilities. Disabil Rehab. 2013;35(26):2227-2236.
|
||||
https://doi.org/10.3109/09638288.2013.775356
|
||||
|
||||
13. Lindsay S. Enablers and barriers affecting motor vehicle transportation for youth with physical disabilities: a scoping review. New York: Nova Science Publishers; 2017.
|
||||
|
||||
14. Carter EW, Trainor AA, Ditchman N, Swedeen B, Owens L. Community-based summer work experiences of adolescents with high-incidence disabilities. J Special Edu. 2011;45(2):89-103.
|
||||
https://doi.org/10.1177/0022466909353204
|
||||
|
||||
15. Roessler RT, Neath J, McMahon BT, Rumrill PD. Workplace discrimination outcomes and their predictive factors for adults with multiple sclerosis. Rehabil Couns Bull. 2007;50(3):139-152.
|
||||
https://doi.org/10.1177/00343552070500030201
|
||||
|
||||
16. Gall C, Kingsnorth S, Healy H. Growing up ready: a shared management approach. Phys Occup Ther Pediatr. 2006;26(4):47-62.
|
||||
https://doi.org/10.1300/J006v26n04_04
|
||||
|
||||
17. Kingsnorth S, Lindsay S, Maxwell J, Tsybina I, Seo H, Macarthur C, et al. Implementation of the lifespan model of transition care across pediatric and adult rehabilitation providers. Int J Child Adolesc Health. 2011;3(4):547-560.
|
||||
|
||||
18. Lindsay S, McDougall C, Menna-Dack D, Sanford R, Adams T. An ecological approach to understanding barriers to employment for youth with disabilities compared to their typically developing peers: views of youth, employers, and job counselors. Disabil Rehab. 2015;37(8):701-711.
|
||||
https://doi.org/10.3109/09638288.2014.939775
|
||||
|
||||
19. Arnett J. Emerging adulthood: what is it, and what is it good for? Child Dev Perspect. 2007;1(2):68-73.
|
||||
https://doi.org/10.1111/j.1750-8606.2007.00016.x
|
||||
|
||||
20. Hanif S, McDougall C, Lindsay S. A systematic review of vocational interventions for youth with disabilities. Res Soc Sci Disabil. 2017;10:175-196.
|
||||
https://doi.org/10.1108/S1479-354720170000010008
|
||||
|
||||
21. McCloy U, DeClou L. Disability in Ontario: postsecondary education participation rates, student experience and labour market outcomes. Toronto: Higher Education Quality Council of Ontario; 2013.
|
||||
|
||||
22. Magill-Evans J, Galambos N, Darrah J, Nickerson C. Predictors of employment for young adults with developmental motor disabilities. Work. 2008;31(4):433-442.
|
||||
|
||||
23. Myklebust JO, Båtevik FO. Economic independence among former students with special educational needs: changes and continuities from their late twenties to their mid-thirties. Eur J Special Needs Educ. 2014;29(3):387-401.
|
||||
https://doi.org/10.1080/08856257.2014.922791
|
||||
|
||||
24. Park S-K, Yoon J-Y, Henderson T. Factors affecting employment among people with mobility disabilities in south korea. Int J Rehabil Res. 2007;30(1):19-25.
|
||||
https://doi.org/10.1097/MRR.0b013e328012c990
|
||||
|
||||
25. Wagner MM, Newman LA, Javitz HS. The influence of family socioeconomic status on the post-high school outcomes of youth with disabilities. Career Dev Trans Except Individ. 2014;37(1):5-17.
|
||||
https://doi.org/10.1177/2165143414523980
|
||||
|
||||
26. Doren B, Gau JM, Lindstrom L. The role of gender in the longterm employment outcomes of young adults with disabilities. J Vocat Rehab. 2011;34(1):35-42.
|
||||
https://doi.org/10.3233/JVR-2010-0532
|
||||
|
||||
27. Capella ME. Inequities in the VR system: do they still exist? Rehab Couns Bull. 2002;45(3):143-153.
|
||||
https://doi.org/10.1177/003435520204500303
|
||||
|
||||
28. Lusk SL, Cook D. Enhancing career exploration, decision making, and problem solving of adolescent girls with disabilities. J Vocat Rehab. 2009;31(3):145-153.
|
||||
https://doi.org/10.3233/JVR-2009-0484
|
||||
|
||||
29. Moore CL. Relationship of consumer characteristics and service provision to income of successfully rehabilitated individuals who are deaf. Rehab Couns Bull. 2002;45(4):233-239.
|
||||
https://doi.org/10.1177/00343552020450040601
|
||||
|
||||
30. Powers K, Hogansen J, Geenen S, Powers LE, Gil-Kashiwabara E. Gender matters in transition to adulthood: a survey study of adolescents with disabilities and their families. Psychol Sch. 2008;45(4):349-364.
|
||||
https://doi.org/10.1002/pits.20297
|
||||
|
||||
31. McDowell C, Fossey E. Workplace accommodations for people with mental illness: a scoping review. J Occup Rehabil. 2015;25(1):197-206.
|
||||
https://doi.org/10.1007/s10926-014-9512-y
|
||||
|
||||
32. Botuck S, Levy J, Rimmerman A. Gender-related differences in placement rates of young adults with mental retardation and severe learning disabilities. Int J Rehab Res. 1996;19(3):259-264.
|
||||
https://doi.org/10.1097/00004356-199609000-00007
|
||||
|
||||
33. Coutinho MJ, Oswald DP, Best AM. Differences in outcomes for female and male students in special education. Career Dev Except Individ. 2006;29(1):48-59.
|
||||
https://doi.org/10.1177/08857288060290010401
|
||||
|
||||
34. Blackorby J, Wagner M. Longitudinal postschool outcomes of youth with disabilities: findings from the national longitudinal transition study. Except Children. 1996;62(5):399-413.
|
||||
https://doi.org/10.1177/001440299606200502
|
||||
|
||||
35. Fabian ES. Urban youth with disabilities: factors affecting transition employment. Rehab Couns Bull. 2007;50(3):130-138.
|
||||
https://doi.org/10.1177/00343552070500030101
|
||||
|
||||
36. Sung C, Sanchez J, Kuo HJ, Wang CC, Leahy MJ. Gender differences in vocational rehabilitation service predictors of successful competitive employment for transition-aged individuals with autism. J Autism Dev Disord. 2015;45(10):3204-3218.
|
||||
https://doi.org/10.1007/s10803-015-2480-z
|
||||
|
||||
37. Baldridge DC, Swift ML. Withholding requests for disability accommodation the role of individual differences and disability attributes. J Manag. 2013;39(3):743-762.
|
||||
https://doi.org/10.1177/0149206310396375
|
||||
|
||||
38. Schmidt MA, Smith DL. Individuals with disabilities perceptions on preparedness for the workforce and factors that limit employment. Work. 2007;28(1):13-21.
|
||||
|
||||
39. Roebroeck ME, Jahnsen R, Carona C, Kent RM, Chamberlain MA. Adult outcomes and lifespan issues for people with childhood-onset physical disability. Dev Med Children Neurol. 2009;51(8):670-678.
|
||||
https://doi.org/10.1111/j.1469-8749.2009.03322.x
|
||||
|
||||
40. Tannenbaum C, Greaves L, Graham ID. Why sex and gender matter in implementation research. BMC Med Res Method. 2016;16(1):145-154.
|
||||
https://doi.org/10.1186/s12874-016-0247-7
|
||||
|
||||
41. Clayton JA, Tannenbaum C. Reporting sex, gender, or both in clinical research? J Am Med Assoc. 2016;316(18):1863-1864.
|
||||
https://doi.org/10.1001/jama.2016.16405
|
||||
|
||||
42. Petticrew M, Roberts H. Systematic reviews in the social sciences: a practical guide. Hoboken: Wiley; 2008.
|
||||
|
||||
43. Whittemore R, Knafl K. The integrative review: updated methodology. J Adv Nurs. 2005;52(5):546-553.
|
||||
https://doi.org/10.1111/j.1365-2648.2005.03621.x
|
||||
|
||||
44. Kmet L, Lee R, Cook L. Standard quality assessment criteria for evaluating primary research papers from a variety of fields. Edmonton: Alberta Heritage Foundation for Medical Research (AHFMR); 2004; HTA initiative #13.
|
||||
|
||||
45. Liberati A, Altman DG, Tetzlaf fJ, Mulrow C, Gøtzsche PC, Ioannidis JP, et al. The prisma statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009;6(7):e1-e34.
|
||||
https://doi.org/10.1371/journal.pmed.1000100
|
||||
|
||||
46. Villanueva-Flores M, Valle-Cabrera R, Bornay-Barrachina M. Career development and individuals with physical disabilities. Career Dev Int. 2014;19(2):222-243.
|
||||
https://doi.org/10.1108/CDI-02-2013-0022
|
||||
|
||||
47. Bieszk-Stolorz B. Economic activity of the disabled in poland in 2010. Folia Oeconomica Stetin. 2012; 10(2):128-137.
|
||||
https://doi.org/10.2478/v10031-011-0037-7
|
||||
|
||||
48. Boman T, Kjellberg A, Danermark B, Boman E. Can people with disabilities gain from education? Similarities and differences between occupational attainment among persons with and without disabilities. Work. 2014;49(2):193-204.
|
||||
https://doi.org/10.3233/WOR-131718
|
||||
|
||||
49. Levine P, Edgar E. An analysis by gender of long-term postschool outcomes for youth with and without disabilities. Except Children. 1994;61(3):282-300.
|
||||
https://doi.org/10.1177/001440299506100307
|
||||
|
||||
50. Gold PB, Fabian ES, Luecking RG. Job acquisition by urban youth with disabilities transitioning from school to work. Rehab Couns Bull. 2013;57(1):31-45.
|
||||
https://doi.org/10.1177/0034355213481248
|
||||
|
||||
51. Eng M, Zhang J, Cambon A, Marvin MR, Gleason J. Employment outcomes following successful renal transplantation. Clin Transplant. 2012;26(2):242-246.
|
||||
https://doi.org/10.1111/j.1399-0012.2011.01441.x
|
||||
|
||||
52. Rabren K, Dunn C, Chambers D. Predictors of post-high school employment among young adults with disabilities. Career Dev Except Individ. 2002;25(1):25-40.
|
||||
https://doi.org/10.1177/088572880202500103
|
||||
|
||||
53. Poppen M, Lindstrom L, Unruh D, Khurana A, Bullis M, Sevak P, et al. Preparing youth with disabilities for employment: an analysis of vocational rehabilitation case services data. J Vocat Rehab. 2017;46(2):209-224.
|
||||
https://doi.org/10.3233/JVR-160857
|
||||
|
||||
54. Olson D, Ciof ifA, Yovanoff P, Mank D. Gender differences in supported employment. Ment Retard. 2000;38(2):89-96.
|
||||
https://doi.org/10.1352/0047-6765(2000)038<0089:GDISE>2.0.CO;2
|
||||
|
||||
55. Van Mechelen M, Verhoef M, Van Asbeck F, Post M. Work participation among young adults with spina bifida in the netherlands. Dev Med Children Neurol. 2008;50(10):772-777.
|
||||
https://doi.org/10.1111/j.1469-8749.2008.03020.x
|
||||
|
||||
56. Bellin MH, Dicianno BE, Levey E, Dosa N, Roux G, Marben K, et al. Interrelationships of sex, level of lesion, and transition outcomes among young adults with myelomeningocele. Dev Med Children Neurol. 2011;53(7):647-652.
|
||||
https://doi.org/10.1111/j.1469-8749.2011.03938.x
|
||||
|
||||
57. Holwerda A, van der Klink JJ, de Boer MR, Groothoff JW, Brouwer S. Predictors of sustainable work participation of young adults with developmental disorders. Res Dev Disabil. 2013;34(9):2753-2763.
|
||||
https://doi.org/10.1016/j.ridd.2013.05.032
|
||||
|
||||
58. Pang JW, Friedman DL, Whitton JA, Stovall M, Mertens AC, Robison LL, et al. Employment status among adult survivors in the childhood cancer survivor study. Pediatr Blood Cancer. 2008;50(1):104-110.
|
||||
https://doi.org/10.1002/pbc.21226
|
||||
|
||||
59. Nagarajan R, Neglia JP, Clohisy DR, Yasui Y, Greenberg M, Hudson M, et al. Education, employment, insurance, and marital status among 694 survivors of pediatric lower extremity bone tumors: a report from the childhood cancer survivor study. Cancer. 2003;97(10):2554-2564.
|
||||
https://doi.org/10.1002/cncr.11363
|
||||
|
||||
60. Schaller J, Yang N, Trainor A. Transition-age adults with adhd: gender and predictors of vocational rehabilitation outcomes. J Appl Rehab Couns. 2006;37(1):3−12.
|
||||
https://doi.org/10.1891/0047-2220.37.1.3
|
||||
|
||||
61. Foy CM. Long term efficacy of an integrated neurological and vocational rehabilitation programme for young adults with acquired brain injury. J Occup Rehab. 2014;24(3):533-542.
|
||||
https://doi.org/10.1007/s10926-013-9488-z
|
||||
|
||||
62. Murphy ME, Holzer CE, 3rd, Richardson LM, Epperson K, Ojeda S, Martinez EM, et al. Quality of life of young adult survivors of pediatric burns using world health organization disability assessment scale ii and burn specific health scale-brief: a comparison. J Burn Care Res. 2015;36(5):521-533.
|
||||
https://doi.org/10.1097/BCR.0000000000000156
|
||||
|
||||
63. Anderson CJ, Vogel LC, Willis KM, Betz RR. Stability of transition to adulthood among individuals with pediatric-onset spinal cord injuries. J Spinal Cord Med. 2006;29(1):46-56.
|
||||
https://doi.org/10.1080/10790268.2006.11753856
|
||||
|
||||
64. Klein JF, Hood SB. The impact of stuttering on employment opportunities and job performance. J Fluency Disord. 2004;29(4):255-273.
|
||||
https://doi.org/10.1016/j.jfludis.2004.08.001
|
||||
|
||||
65. Chiang H-M, Cheung YK, Li H, Tsai LY. Factors associated with participation in employment for high school leavers with autism. J Autism Dev Disord. 2013;43(8):1832-1842.
|
||||
https://doi.org/10.1007/s10803-012-1734-2
|
||||
|
||||
66. Mondéjar-Jiménez J, Vargas-Vargas M, Mondéjar-Jiménez J-A, Bayot-Mestre A. An approach to the socio-labour situation of disabled women in rural communities in a spanish region. Disabil Rehab. 2009;31(16):1328-1337.
|
||||
https://doi.org/10.1080/09638280802658350
|
||||
|
||||
67. Gerhardt CA, McGoron KD, Vannatta K, McNamara KA, Taylor J, Passo M, et al. Educational and occupational outcomes among young adults with juvenile idiopathic arthritis. Arthritis Rheumatol. 2008;59(10):1385-1391.
|
||||
https://doi.org/10.1002/art.24100
|
||||
|
||||
68. Kaya C, Chan F, Rumrill P, Hartman E, Wehman P, Iwanaga K, et al. Vocational rehabilitation services and competitive employment for transition-age youth with autism spectrum disorders. J Vocat Rehab. 2016;45(1):73-83.
|
||||
https://doi.org/10.3233/JVR-160812
|
||||
|
||||
69. Migliore A, Timmons J, Butterworth J, Lugas J. Predictors of employment and postsecondary education of youth with autism. Rehab Couns Bull. 2012;55(3):176-184.
|
||||
https://doi.org/10.1177/0034355212438943
|
||||
|
||||
70. Kulkarni M, Lengnick-Hall ML. Socialization of people with disabilities in the workplace. Hum Resour Manag. 2011;50(4):521-540.
|
||||
https://doi.org/10.1002/hrm.20436
|
||||
|
||||
71. Breslin FC, Pole JD, Tompa E, Amick BC 3rd, Smith P, Johnson SH. Antecedents of work disability absence among young people: a prospective study. Ann Epidemiol. 2007;17(10):814-820.
|
||||
https://doi.org/10.1016/j.annepidem.2007.04.004
|
||||
|
||||
72. Gibson BE, Mistry B, Smith B, Yoshida KK, Abbott D, Lindsay S, et al. Becoming men: gender, disability, and transitioning to adulthood. Health. 2014;18(1):95-114.
|
||||
https://doi.org/10.1177/1363459313476967
|
||||
|
||||
73. Lindstrom L, Doren B, Miesch J. Waging a living: career development and long-term employment outcomes for young adults with disabilities. Except Children. 2011;77(4):423-434.
|
||||
https://doi.org/10.1177/001440291107700403
|
||||
|
||||
74. Strauser D, Feuerstein M, Chan F, Arango J, da Silva Cardoso E, Chiu C-Y. Vocational services associated with competitive employment in 18-25 year old cancer survivors. J Cancer Surviv. 2010;4(2):179-186.
|
||||
https://doi.org/10.1007/s11764-010-0119-9
|
||||
|
||||
75. Hogansen JM, Powers K, Geenen S, Gil-Kashiwabara E, Powers L. Transition goals and experiences of females with disabilities: youth, parents, and professionals. Except Children. 2008;74(2):215-234.
|
||||
https://doi.org/10.1177/001440290807400205
|
||||
|
||||
76. Lindstrom LE, Benz MR, Doren B. Expanding career options for young women with learning disabilities. Career Dev Trans Except Individ. 2004;27(1):43-63.
|
||||
https://doi.org/10.1177/088572880402700104
|
||||
|
||||
77. Lindstrom LE, Benz MR. Phases of career development: case studies of young women with learning disabilities. Except Children. 2002;69(1):67-83.
|
||||
https://doi.org/10.1177/001440290206900105
|
||||
|
||||
78. Assembly UG. Convention on the rights of persons with disabilities. GA Res. 2006;61:106.
|
||||
|
||||
79. Lindsay S. Discrimination and other barriers to employment for teens and young adults with disabilities. Disabil Rehab. 2011;33(15-16):1340-1350.
|
||||
https://doi.org/10.3109/09638288.2010.531372
|
||||
|
||||
80. Ang RP, Lim KM, Tan A-G, Yau TY. Effects of gender and sex role orientation on help-seeking attitudes. Curr Psychol. 2004;23(3):203-214.
|
||||
https://doi.org/10.1007/s12144-004-1020-3
|
||||
|
||||
81. Mackenzie C, Gekoski W, Knox V. Age, gender, and the underutilization of mental health services: the influence of help-seeking attitudes. Aging Mental Health. 2006;10(6):574-582.
|
||||
https://doi.org/10.1080/13607860600641200
|
||||
|
||||
82. Ratzon N, Schejter T, Alon E, Schreuer N. Are young adults with special needs ready for the physical work demands? Res Dev Disabil. 2011;32(1):371-376.
|
||||
https://doi.org/10.1016/j.ridd.2010.10.018
|
||||
|
||||
83. Davies MD, Beamish W. Transitions from school for young adults with intellectual disability: parental perspectives on "life as an adjustment". J Intellect Dev Disabil. 2009;34(3):248-257.
|
||||
https://doi.org/10.1080/13668250903103676
|
72
02-data/raw/02_snowballing-starts/Lindsay2018a/DOIs_only.txt
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|
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|
|||
https://doi.org/10.1007/s10272-017-0638-y
|
||||
https://doi.org/10.1177/0095399716636928
|
||||
https://doi.org/10.1016/j.econedurev.2004.06.005
|
||||
https://doi.org/10.5465/amj.2013.0721
|
||||
https://doi.org/10.1177/2165143412437737
|
||||
https://doi.org/10.1080/09638280802305929
|
||||
https://doi.org/10.1016/j.adolescence.2013.08.014
|
||||
https://doi.org/10.3109/09638288.2011.603015
|
||||
https://doi.org/10.3109/09638288.2013.775356
|
||||
https://doi.org/10.1177/0022466909353204
|
||||
https://doi.org/10.1177/00343552070500030201
|
||||
https://doi.org/10.1300/J006v26n04_04
|
||||
https://doi.org/10.3109/09638288.2014.939775
|
||||
https://doi.org/10.1111/j.1750-8606.2007.00016.x
|
||||
https://doi.org/10.1108/S1479-354720170000010008
|
||||
https://doi.org/10.1080/08856257.2014.922791
|
||||
https://doi.org/10.1097/MRR.0b013e328012c990
|
||||
https://doi.org/10.1177/2165143414523980
|
||||
https://doi.org/10.3233/JVR-2010-0532
|
||||
https://doi.org/10.1177/003435520204500303
|
||||
https://doi.org/10.3233/JVR-2009-0484
|
||||
https://doi.org/10.1177/00343552020450040601
|
||||
https://doi.org/10.1002/pits.20297
|
||||
https://doi.org/10.1007/s10926-014-9512-y
|
||||
https://doi.org/10.1097/00004356-199609000-00007
|
||||
https://doi.org/10.1177/08857288060290010401
|
||||
https://doi.org/10.1177/001440299606200502
|
||||
https://doi.org/10.1177/00343552070500030101
|
||||
https://doi.org/10.1007/s10803-015-2480-z
|
||||
https://doi.org/10.1177/0149206310396375
|
||||
https://doi.org/10.1111/j.1469-8749.2009.03322.x
|
||||
https://doi.org/10.1186/s12874-016-0247-7
|
||||
https://doi.org/10.1001/jama.2016.16405
|
||||
https://doi.org/10.1111/j.1365-2648.2005.03621.x
|
||||
https://doi.org/10.1371/journal.pmed.1000100
|
||||
https://doi.org/10.1108/CDI-02-2013-0022
|
||||
https://doi.org/10.2478/v10031-011-0037-7
|
||||
https://doi.org/10.3233/WOR-131718
|
||||
https://doi.org/10.1177/001440299506100307
|
||||
https://doi.org/10.1177/0034355213481248
|
||||
https://doi.org/10.1111/j.1399-0012.2011.01441.x
|
||||
https://doi.org/10.1177/088572880202500103
|
||||
https://doi.org/10.3233/JVR-160857
|
||||
https://doi.org/10.1352/0047-6765(2000)038<0089:GDISE>2.0.CO;2
|
||||
https://doi.org/10.1111/j.1469-8749.2008.03020.x
|
||||
https://doi.org/10.1111/j.1469-8749.2011.03938.x
|
||||
https://doi.org/10.1016/j.ridd.2013.05.032
|
||||
https://doi.org/10.1002/pbc.21226
|
||||
https://doi.org/10.1002/cncr.11363
|
||||
https://doi.org/10.1891/0047-2220.37.1.3
|
||||
https://doi.org/10.1007/s10926-013-9488-z
|
||||
https://doi.org/10.1097/BCR.0000000000000156
|
||||
https://doi.org/10.1080/10790268.2006.11753856
|
||||
https://doi.org/10.1016/j.jfludis.2004.08.001
|
||||
https://doi.org/10.1007/s10803-012-1734-2
|
||||
https://doi.org/10.1080/09638280802658350
|
||||
https://doi.org/10.1002/art.24100
|
||||
https://doi.org/10.3233/JVR-160812
|
||||
https://doi.org/10.1177/0034355212438943
|
||||
https://doi.org/10.1002/hrm.20436
|
||||
https://doi.org/10.1016/j.annepidem.2007.04.004
|
||||
https://doi.org/10.1177/1363459313476967
|
||||
https://doi.org/10.1177/001440291107700403
|
||||
https://doi.org/10.1007/s11764-010-0119-9
|
||||
https://doi.org/10.1177/001440290807400205
|
||||
https://doi.org/10.1177/088572880402700104
|
||||
https://doi.org/10.1177/001440290206900105
|
||||
https://doi.org/10.3109/09638288.2010.531372
|
||||
https://doi.org/10.1007/s12144-004-1020-3
|
||||
https://doi.org/10.1080/13607860600641200
|
||||
https://doi.org/10.1016/j.ridd.2010.10.018
|
||||
https://doi.org/10.1080/13668250903103676
|
|
@ -0,0 +1,83 @@
|
|||
1. Bisello M, Mascherini M. The gender employment gap: costs and policy responses. Intereconomics. 2017;52(1):24–27.
|
||||
2. World Bank. Gender differences in employment and why they matter. In: World development report 2012: gender equality and development 2012. https://elibrary.worldbank.org/doi/ abs/10.1596/9780821388105_ch5. Accessed 22 June 2017.
|
||||
3. Bishu SG, Alkadry MG. A systematic review of the gender pay gap and factors that predict it. Adm Soc. 2016;49(1):65–104.
|
||||
4. US Department of Labor. BLS spotlight on statistics: women at work. 2011 employment and why they matter. In: World development report 2012: gender equality and development 2012. https:// elibrary.worldbank.org/doi/abs/10.1596/9780821388105_ch5. Accessed 22 Jun 2017.
|
||||
5. Graham JW, Smith SA. Gender differences in employment and earnings in science and engineering in the us. Econ Educ Rev. 2005;24(3):341–354.
|
||||
6. Joshi A, Son J, Roh H. When can women close the gap? A metaanalytic test of sex differences in performance and rewards. Acad Manag J. 2015;58(5):1516–1545.
|
||||
7. Lindstrom L, Harwick RM, Poppen M, Doren B. Gender gaps: career development for young women with disabilities. Career Dev Trans Except Individ. 2012;35(2):108–117.
|
||||
8. World Health Organization. International classification of functioning, disability, and health: children & youth version. 2007. http:// apps.who.int/iris/bitstream/10665/43737/1/9789241547321_eng. pdf. Accessed 4 Aug 2015
|
||||
9. Mwachofi AK. Gender difference in access and intervention outcomes: the case for women with disabilities. Disabil Rehab. 2009;31(9):693–700.
|
||||
10. Doren B, Lombardi AR, Clark J, Lindstrom L. Addressing career barriers for high risk adolescent girls: the paths curriculum intervention. J Adolesc. 2013;36(6):1083–1092.
|
||||
11. Lindsay S, Adams T, McDougall C, Sanford R. Skill development in an employment-training program for adolescents with disabilities. Disabil Rehab. 2012;34(3):228–237.
|
||||
12. Lindsay S, McDougall C, Sanford R. Disclosure, accommodations and self-care at work among adolescents with disabilities. Disabil Rehab. 2013;35(26):2227–2236.
|
||||
13. Lindsay S. Enablers and barriers affecting motor vehicle transportation for youth with physical disabilities: a scoping review. New York: Nova Science Publishers; 2017.
|
||||
14. Carter EW, Trainor AA, Ditchman N, Swedeen B, Owens L. Community-based summer work experiences of adolescents with high-incidence disabilities. J Special Edu. 2011;45(2):89–103.
|
||||
15. Roessler RT, Neath J, McMahon BT, Rumrill PD. Workplace discrimination outcomes and their predictive factors for adults with multiple sclerosis. Rehabil Couns Bull. 2007;50(3):139–152.
|
||||
16. Gall C, Kingsnorth S, Healy H. Growing up ready: a shared management approach. Phys Occup Ther Pediatr. 2006;26(4):47–62.
|
||||
17. Kingsnorth S, Lindsay S, Maxwell J, Tsybina I, Seo H, Macarthur C, et al. Implementation of the lifespan model of transition care across pediatric and adult rehabilitation providers. Int J Child Adolesc Health. 2011;3(4):547–560.
|
||||
18. Lindsay S, McDougall C, Menna-Dack D, Sanford R, Adams T. An ecological approach to understanding barriers to employment for youth with disabilities compared to their typically developing peers: views of youth, employers, and job counselors. Disabil Rehab. 2015;37(8):701–711.
|
||||
19. Arnett J. Emerging adulthood: what is it, and what is it good for? Child Dev Perspect. 2007;1(2):68–73.
|
||||
20. Hanif S, McDougall C, Lindsay S. A systematic review of vocational interventions for youth with disabilities. Res Soc Sci Disabil. 2017;10:175–196.
|
||||
21. McCloy U, DeClou L. Disability in Ontario: postsecondary education participation rates, student experience and labour market outcomes. Toronto: Higher Education Quality Council of Ontario; 2013.
|
||||
22. Magill-Evans J, Galambos N, Darrah J, Nickerson C. Predictors of employment for young adults with developmental motor disabilities. Work. 2008;31(4):433–442.
|
||||
23. Myklebust JO, Båtevik FO. Economic independence among former students with special educational needs: changes and continuities from their late twenties to their mid-thirties. Eur J Special Needs Educ. 2014;29(3):387–401.
|
||||
24. Park S-K, Yoon J-Y, Henderson T. Factors affecting employment among people with mobility disabilities in south korea. Int J Rehabil Res. 2007;30(1):19–25.
|
||||
25. Wagner MM, Newman LA, Javitz HS. The influence of family socioeconomic status on the post–high school outcomes of youth with disabilities. Career Dev Trans Except Individ. 2014;37(1):5–17.
|
||||
26. Doren B, Gau JM, Lindstrom L. The role of gender in the longterm employment outcomes of young adults with disabilities. J Vocat Rehab. 2011;34(1):35–42.
|
||||
27. Capella ME. Inequities in the VR system: do they still exist? Rehab Couns Bull. 2002;45(3):143–153.
|
||||
28. Lusk SL, Cook D. Enhancing career exploration, decision making, and problem solving of adolescent girls with disabilities. J Vocat Rehab. 2009;31(3):145–153.
|
||||
29. Moore CL. Relationship of consumer characteristics and service provision to income of successfully rehabilitated individuals who are deaf. Rehab Couns Bull. 2002;45(4):233–239.
|
||||
30. Powers K, Hogansen J, Geenen S, Powers LE, Gil-Kashiwabara E. Gender matters in transition to adulthood: a survey study of adolescents with disabilities and their families. Psychol Sch. 2008;45(4):349–364.
|
||||
31. McDowell C, Fossey E. Workplace accommodations for people with mental illness: a scoping review. J Occup Rehabil. 2015;25(1):197–206.
|
||||
32. Botuck S, Levy J, Rimmerman A. Gender-related differences in placement rates of young adults with mental retardation and severe learning disabilities. Int J Rehab Res. 1996;19(3):259–264.
|
||||
33. Coutinho MJ, Oswald DP, Best AM. Differences in outcomes for female and male students in special education. Career Dev Except Individ. 2006;29(1):48–59.
|
||||
34. Blackorby J, Wagner M. Longitudinal postschool outcomes of youth with disabilities: findings from the national longitudinal transition study. Except Children. 1996;62(5):399–413.
|
||||
35. Fabian ES. Urban youth with disabilities: factors affecting transition employment. Rehab Couns Bull. 2007;50(3):130–138.
|
||||
36. Sung C, Sanchez J, Kuo HJ, Wang CC, Leahy MJ. Gender differences in vocational rehabilitation service predictors of successful competitive employment for transition-aged individuals with autism. J Autism Dev Disord. 2015;45(10):3204–3218.
|
||||
37. Baldridge DC, Swift ML. Withholding requests for disability accommodation the role of individual differences and disability attributes. J Manag. 2013;39(3):743–762.
|
||||
38. Schmidt MA, Smith DL. Individuals with disabilities perceptions on preparedness for the workforce and factors that limit employment. Work. 2007;28(1):13–21.
|
||||
39. Roebroeck ME, Jahnsen R, Carona C, Kent RM, Chamberlain MA. Adult outcomes and lifespan issues for people with childhood-onset physical disability. Dev Med Children Neurol. 2009;51(8):670–678.
|
||||
40. Tannenbaum C, Greaves L, Graham ID. Why sex and gender matter in implementation research. BMC Med Res Method. 2016;16(1):145–154.
|
||||
41. Clayton JA, Tannenbaum C. Reporting sex, gender, or both in clinical research? J Am Med Assoc. 2016;316(18):1863–1864.
|
||||
42. Petticrew M, Roberts H. Systematic reviews in the social sciences: a practical guide. Hoboken: Wiley; 2008.
|
||||
43. Whittemore R, Knafl K. The integrative review: updated methodology. J Adv Nurs. 2005;52(5):546–553.
|
||||
44. Kmet L, Lee R, Cook L. Standard quality assessment criteria for evaluating primary research papers from a variety of fields. Edmonton: Alberta Heritage Foundation for Medical Research (AHFMR); 2004; HTA initiative #13.
|
||||
45. Liberati A, Altman DG, Tetzlaf fJ, Mulrow C, Gøtzsche PC, Ioannidis JP, et al. The prisma statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009;6(7):e1–e34.
|
||||
46. Villanueva-Flores M, Valle-Cabrera R, Bornay-Barrachina M. Career development and individuals with physical disabilities. Career Dev Int. 2014;19(2):222–243.
|
||||
47. Bieszk-Stolorz B. Economic activity of the disabled in poland in 2010. Folia Oeconomica Stetin. 2012; 10(2):128–137.
|
||||
48. Boman T, Kjellberg A, Danermark B, Boman E. Can people with disabilities gain from education? Similarities and differences between occupational attainment among persons with and without disabilities. Work. 2014;49(2):193–204.
|
||||
49. Levine P, Edgar E. An analysis by gender of long-term postschool outcomes for youth with and without disabilities. Except Children. 1994;61(3):282–300.
|
||||
50. Gold PB, Fabian ES, Luecking RG. Job acquisition by urban youth with disabilities transitioning from school to work. Rehab Couns Bull. 2013;57(1):31–45.
|
||||
51. Eng M, Zhang J, Cambon A, Marvin MR, Gleason J. Employment outcomes following successful renal transplantation. Clin Transplant. 2012;26(2):242–246.
|
||||
52. Rabren K, Dunn C, Chambers D. Predictors of post-high school employment among young adults with disabilities. Career Dev Except Individ. 2002;25(1):25–40.
|
||||
53. Poppen M, Lindstrom L, Unruh D, Khurana A, Bullis M, Sevak P, et al. Preparing youth with disabilities for employment: an analysis of vocational rehabilitation case services data. J Vocat Rehab. 2017;46(2):209–224.
|
||||
54. Olson D, Ciof ifA, Yovanoff P, Mank D. Gender differences in supported employment. Ment Retard. 2000;38(2):89–96.
|
||||
55. Van Mechelen M, Verhoef M, Van Asbeck F, Post M. Work participation among young adults with spina bifida in the netherlands. Dev Med Children Neurol. 2008;50(10):772–777.
|
||||
56. Bellin MH, Dicianno BE, Levey E, Dosa N, Roux G, Marben K, et al. Interrelationships of sex, level of lesion, and transition outcomes among young adults with myelomeningocele. Dev Med Children Neurol. 2011;53(7):647–652.
|
||||
57. Holwerda A, van der Klink JJ, de Boer MR, Groothoff JW, Brouwer S. Predictors of sustainable work participation of young adults with developmental disorders. Res Dev Disabil. 2013;34(9):2753–2763.
|
||||
58. Pang JW, Friedman DL, Whitton JA, Stovall M, Mertens AC, Robison LL, et al. Employment status among adult survivors in the childhood cancer survivor study. Pediatr Blood Cancer. 2008;50(1):104–110.
|
||||
59. Nagarajan R, Neglia JP, Clohisy DR, Yasui Y, Greenberg M, Hudson M, et al. Education, employment, insurance, and marital status among 694 survivors of pediatric lower extremity bone tumors: a report from the childhood cancer survivor study. Cancer. 2003;97(10):2554–2564.
|
||||
60. Schaller J, Yang N, Trainor A. Transition-age adults with adhd: gender and predictors of vocational rehabilitation outcomes. J Appl Rehab Couns. 2006;37(1):3−12.
|
||||
61. Foy CM. Long term efficacy of an integrated neurological and vocational rehabilitation programme for young adults with acquired brain injury. J Occup Rehab. 2014;24(3):533–542.
|
||||
62. Murphy ME, Holzer CE, 3rd, Richardson LM, Epperson K, Ojeda S, Martinez EM, et al. Quality of life of young adult survivors of pediatric burns using world health organization disability assessment scale ii and burn specific health scale-brief: a comparison. J Burn Care Res. 2015;36(5):521–533.
|
||||
63. Anderson CJ, Vogel LC, Willis KM, Betz RR. Stability of transition to adulthood among individuals with pediatric-onset spinal cord injuries. J Spinal Cord Med. 2006;29(1):46–56.
|
||||
64. Klein JF, Hood SB. The impact of stuttering on employment opportunities and job performance. J Fluency Disord. 2004;29(4):255–273.
|
||||
65. Chiang H-M, Cheung YK, Li H, Tsai LY. Factors associated with participation in employment for high school leavers with autism. J Autism Dev Disord. 2013;43(8):1832–1842.
|
||||
66. Mondéjar-Jiménez J, Vargas-Vargas M, Mondéjar-Jiménez J-A, Bayot-Mestre A. An approach to the socio-labour situation of disabled women in rural communities in a spanish region. Disabil Rehab. 2009;31(16):1328–1337.
|
||||
67. Gerhardt CA, McGoron KD, Vannatta K, McNamara KA, Taylor J, Passo M, et al. Educational and occupational outcomes among young adults with juvenile idiopathic arthritis. Arthritis Rheumatol. 2008;59(10):1385–1391.
|
||||
68. Kaya C, Chan F, Rumrill P, Hartman E, Wehman P, Iwanaga K, et al. Vocational rehabilitation services and competitive employment for transition-age youth with autism spectrum disorders. J Vocat Rehab. 2016;45(1):73–83.
|
||||
69. Migliore A, Timmons J, Butterworth J, Lugas J. Predictors of employment and postsecondary education of youth with autism. Rehab Couns Bull. 2012;55(3):176–184.
|
||||
70. Kulkarni M, Lengnick-Hall ML. Socialization of people with disabilities in the workplace. Hum Resour Manag. 2011;50(4):521–540.
|
||||
71. Breslin FC, Pole JD, Tompa E, Amick BC 3rd, Smith P, Johnson SH. Antecedents of work disability absence among young people: a prospective study. Ann Epidemiol. 2007;17(10):814–820.
|
||||
72. Gibson BE, Mistry B, Smith B, Yoshida KK, Abbott D, Lindsay S, et al. Becoming men: gender, disability, and transitioning to adulthood. Health. 2014;18(1):95–114.
|
||||
73. Lindstrom L, Doren B, Miesch J. Waging a living: career development and long-term employment outcomes for young adults with disabilities. Except Children. 2011;77(4):423–434.
|
||||
74. Strauser D, Feuerstein M, Chan F, Arango J, da Silva Cardoso E, Chiu C-Y. Vocational services associated with competitive employment in 18–25 year old cancer survivors. J Cancer Surviv. 2010;4(2):179–186.
|
||||
75. Hogansen JM, Powers K, Geenen S, Gil-Kashiwabara E, Powers L. Transition goals and experiences of females with disabilities: youth, parents, and professionals. Except Children. 2008;74(2):215–234.
|
||||
76. Lindstrom LE, Benz MR, Doren B. Expanding career options for young women with learning disabilities. Career Dev Trans Except Individ. 2004;27(1):43–63.
|
||||
77. Lindstrom LE, Benz MR. Phases of career development: case studies of young women with learning disabilities. Except Children. 2002;69(1):67–83.
|
||||
78. Assembly UG. Convention on the rights of persons with disabilities. GA Res. 2006;61:106.
|
||||
79. Lindsay S. Discrimination and other barriers to employment for teens and young adults with disabilities. Disabil Rehab. 2011;33(15–16):1340–1350.
|
||||
80. Ang RP, Lim KM, Tan A-G, Yau TY. Effects of gender and sex role orientation on help-seeking attitudes. Curr Psychol. 2004;23(3):203–214.
|
||||
81. Mackenzie C, Gekoski W, Knox V. Age, gender, and the underutilization of mental health services: the influence of help-seeking attitudes. Aging Mental Health. 2006;10(6):574–582.
|
||||
82. Ratzon N, Schejter T, Alon E, Schreuer N. Are young adults with special needs ready for the physical work demands? Res Dev Disabil. 2011;32(1):371–376.
|
||||
83. Davies MD, Beamish W. Transitions from school for young adults with intellectual disability: parental perspectives on “life as an adjustment”. J Intellect Dev Disabil. 2009;34(3):248–257.
|
0
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|
|||
1. Gates LB. Workplace accommodation as a social process. J Occup Rehabil. 2000;10:85-98.
|
||||
https://doi.org/10.1023/A:1009445929841
|
||||
|
||||
2. Butterfield TM, Ramseur JH. Research and case study findings in the area of workplace accommodations including provisions for assistive technology: a literature review. Technol Disabil. 2004;16:201-10.
|
||||
https://doi.org/10.3233/TAD-2004-16402
|
||||
|
||||
3. Balser DB. Predictors of workplace accommodations for employees with mobility-related disabilities. Admin Soc. 2007;39:656-83.
|
||||
https://doi.org/10.1177/0095399707303639
|
||||
|
||||
4. Springer J, Siebes C. Position controlled input device for handicapped: experimental studies with a footmouse. Int J Ind Ergon. 1996;17:135-52.
|
||||
https://doi.org/10.1016/0169-8141(95)00045-3
|
||||
|
||||
5. Nevala-Puranen N, Seuri M, Simola A, Elo J. Physically disabled at work: need for ergonomic interventions. J Occup Rehabil. 1999;9:215-25.
|
||||
https://doi.org/10.1023/A:1021375500867
|
||||
|
||||
6. Lacaille D, Sheps S, Spinelli JJ, Chalmers A, Esdaile JM. Identification of modifiable work-related factors that influence the risk of work disability in rheumatoid arthritis. Arthritis Rheum. 2004;51:843-52.
|
||||
https://doi.org/10.1002/art.20690
|
||||
|
||||
7. Mauri C, Cranollers T, Cores J, Garcia M. Computer vision interaction for people with severe movement restrictions. Human Technol. 2006;2:38-54.
|
||||
https://doi.org/10.17011/ht/urn.2006158
|
||||
|
||||
8. Chen H-C, Liu Y-P, Chen C-L, Chen C-Y. Design and feasibility study of an integrated pointing device apparatus for individuals with spinal cord injury. Appl Ergon. 2007;38:275-83.
|
||||
https://doi.org/10.1016/j.apergo.2006.06.003
|
||||
|
||||
9. Zirkzee EJM, Sneep AC, de Buck PDM, Allaart CF, Peeters AJ, Ronday HK, Westedt ML, le Cessie S, Vliet Vlieland TPM. Sick leave and work disability in patients with early arthritis. Clin Rheumatol. 2008;27:11-9.
|
||||
https://doi.org/10.1007/s10067-007-0642-x
|
||||
|
||||
10. De Rijk A, Nijhuis F, Alexanderson K. Gender differences in work modifications and changed job characteristics during the return-to-work process: a prospective cohort study. J Occup Rehabil. 2009;19:185-93.
|
||||
https://doi.org/10.1007/s10926-009-9168-1
|
||||
|
||||
11. Rumrill PD, Fraser RT, Johnson KL. Employment and workplace accommodation outcomes among participants in a vocational consultation service for people with multiple sclerosis. J Vocat Rehab. 2013;39:85-90.
|
||||
https://doi.org/10.3233/JVR-130646
|
||||
|
||||
12. Balser DB, Harris MM. Factors affecting employee satisfaction with disability accommodation: a field study. Employ Respond Rights J. 2008;20:13-28.
|
||||
https://doi.org/10.1007/s10672-007-9062-y
|
||||
|
||||
13. Ten Katen K, Beelen A, Nollet F, Frings-Dresen MH, Sluiter JK. Overcoming barriers to work participation for patients with postpoliomyelitis syndrome. Disabil Rehabil. 2011;33:522-9.
|
||||
https://doi.org/10.3109/09638288.2010.503257
|
||||
|
||||
14. Varekamp I, Verbeek JH, de Boer A, van Dijk F. Effect of job maintenance training program for employees with chronic disease-a randomized controlled trial on self-efficacy, job satisfaction, and fatique. Scand J Work Environ Health. 2011;37:288-97.
|
||||
https://doi.org/10.5271/sjweh.3149
|
||||
|
||||
15. Solovieva TI, Dowler DL, Walls RT. Employer benefits from making workplace accommodations. Disabil Health J. 2011;4:39-45.
|
||||
https://doi.org/10.1016/j.dhjo.2010.03.001
|
||||
|
||||
16. Schartz HA, Hendricks DJ, Blank P. Workplace accommodations: evidence based outcomes. Work. 2006;27:345-54. 17. Solovieva TI, Hendricks DJ, Walls RT, Dowler DL. Workplace
|
||||
|
||||
personal assistance services for people with disabilities: making productive employment possible. J Rehabil. 2010;76:3-8.
|
||||
|
||||
18. Baldridge DC, Veiga JF. The impact of anticipated social consequences on recurring disability accommodations requests. J Manag. 2006;32:158-79.
|
||||
https://doi.org/10.1177/0149206305277800
|
||||
|
||||
19. Riemer-Reiss ML, Wacker RR. Factors associated with assistive technology discontinuance among individuals with disabilities. J Rehabil. 2000;66:44-50.
|
||||
|
||||
20. Colquitt JA, Conlon DE, Wesson MJ, Porter COLH, Ng KY. Justice at the millennium: a meta-analytic review of 25 years of organizational justice research. J Appl Psychol. 2001;86:425-45.
|
||||
https://doi.org/10.1037/0021-9010.86.3.425
|
||||
|
||||
21. Gamble MJ, Dowler DL, Orslene LE. Assistive technology: choosing the right tool for the right job. J Vocat Rehab. 2006;24:73-80.
|
||||
|
||||
22. Rivilis I, Van Eerd D, Cullen K, Cole DC, Irvin E, Tyson J, Mahood Q. Effectiveness of participatory ergonomics interventions on health outcomes: a systematic review. Appl Ergon. 2008;39:342-58.
|
||||
https://doi.org/10.1016/j.apergo.2007.08.006
|
||||
|
||||
23. Dunstan DA, MacEachen E. Bearing the brunt: co-workers' experiences of work reintegration processes. J Occup Rehabil. 2013;23:44-54.
|
||||
https://doi.org/10.1007/s10926-012-9380-2
|
||||
|
||||
24. MacEachen E, Clarke J, France RL, Irvin E. Workplace-based return to work literature review group. Scandinavian Systematic review of the qualitative literature on return to work after injury. Scand J Work Environ Health. 2006;32:257-69.
|
||||
https://doi.org/10.5271/sjweh.1009
|
||||
|
||||
25. Schreuer N, Myhill WN, Aratan-Bergman T, Samant D, Blanck P. Workplace accommodations: occupational therapists as mediators in the interactive process. Work. 2009;34:149-60.
|
||||
https://doi.org/10.3233/WOR-2009-0913
|
||||
|
||||
26. Auger C, Demers L, Gelinas I, Jutai J, Fuhrer M. Powered mobility for middle-aged and older adults: systematic review of outcomes and appraisal of published evidence. Am J Phys Med Rehabil. 2008;87:666-80.
|
||||
https://doi.org/10.1097/PHM.0b013e31816de163
|
||||
|
||||
27. Khan F, Ng L, Turner-Stokes L. Effectiveness of vocational rehabilitation intervention on the return to work and employment of persons with multiple sclerosis. Cochrane Database Syst Rev. 2009;(1):CD007256. doi:10.1002/14651858.CD007256.pub2.
|
||||
https://doi.org/10.1002/14651858.CD007256.pub2
|
||||
|
||||
28. Sauer AL, Parks A, Heyn PC. Assistive technology effects on the employment outcomes for people with cognitive disabilities: a systematic review. Disabil Rehabil Assist Technol. 2010;5:377-91.
|
||||
https://doi.org/10.3109/17483101003746360
|
||||
|
||||
29. Salminen A-L, Brandt Å, Samuelsson K, Töytäri O, Malmivaara A. Mobility devices to promote activity and participation: a systematic review. J Rehabil Med. 2009;41:697-706.
|
||||
https://doi.org/10.2340/16501977-0427
|
||||
|
||||
30. Anttila H, Samuelsson K, Salminen A-L, Brandt Å. Quality of evidence of assistive technology interventions for people with disability: an overview of systematic reviews. Technol Disabil. 2012;24:9-48.
|
||||
https://doi.org/10.3233/TAD-2012-0332
|
||||
|
||||
31. Crowther RE, Marshall M, Bond GR, Huxley P. Helping people with severe mental illness to obtain work: systematic review. BMJ. 2001;322:204-8.
|
||||
https://doi.org/10.1136/bmj.322.7280.204
|
||||
|
||||
32. World Health Organisation: ICF. International Classification of Functioning, Disability and Health. Geneva; 2001.
|
||||
|
||||
33. Bauer SM, Elsaesser L-J, Arthanat S. Assistive technology device classification based upon the World Health Organization's, International Classification of Functioning, Disability and Health (ICF). Disabil Rehabil Assist Technol. 2011;6:243-59.
|
||||
https://doi.org/10.3109/17483107.2010.529631
|
||||
|
||||
34. Anner J, Schwegler U, Kunz R, Trezzini B, de Boer W. Evaluation of work disability and the International Classification of Functioning, Disability and Health: what to expect and what not. BMC Public Health. 2012;12:470.
|
||||
https://doi.org/10.1186/1471-2458-12-470
|
||||
|
||||
35. O'Connor D, Green S, Higgins JPT. Defining the review question and developing criteria for including studies. In: Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions. West Sussex: Wiley; 2008. p. 83-94.
|
||||
https://doi.org/10.1002/9780470712184.ch5
|
||||
|
||||
36. van Tulder M, Furlan A, Bombardier C, Bouter L, and the Editorial Board of the Cochrane Collaboration Back Review Group. Updated method guidelines for systematic reviews in the cochrane collaboration back review group. Spine. 2003;28:1290-1299.
|
||||
https://doi.org/10.1097/01.BRS.0000065484.95996.AF
|
||||
|
||||
37. Khan F, Turner-Stokes L, Ng L, Kilpatrick T. Multidisciplinary rehabilitation for adults with multiple sclerosis. Cochrane Database Systic Rev. 2007;(2):CD006036. doi:10.1002/14651858. CD006036.pub2.
|
||||
https://doi.org/10.1002/14651858
|
||||
|
||||
38. Turner-Stokes L, Nair A, Disler PB, Wade DT. Multi-disciplinary rehabilitation for acquired brain injury in adults of working age. Cochrane Database Syst Rev. 2005;(3):CD004170. doi:10.1002/ 14651858.CD004170.pub2.
|
||||
|
||||
39. Wells GA, Shea B, O'Connell D, Peterson J, Welch V, Losos M, Tugwell P. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta-analyses. 2013. http:// www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Assessed 20 Nov 2013.
|
||||
|
||||
40. Huang Y-J, Qi W-X, He A-N, Sun Y-J, Shen Z, Yao Y. Prognostic value of tissue vascular endothelial growth factor expression in bladder cancer: a meta-analysis. Asian Pac J Cancer Prevent. 2013;14:645-9.
|
||||
https://doi.org/10.7314/APJCP.2013.14.2.645
|
||||
|
||||
41. Teng T-HK, Williams TA, Bremner A, Tohira H, Franklin P, Tonkin A, Jacobs I, Finn J. A systematic review of air pollution and incidence of out-of-hospital cardiac arrest. J Epidem Commun Health. 2014;68:37-43.
|
||||
https://doi.org/10.1136/jech-2013-203116
|
||||
|
||||
42. Wang Y, Liu YJ, Ji J, Deng X, He QQ. Passive smoking and risk of type 2 diabetes: a meta-analysis of prospective cohort studies. PLoS ONE. 2013;8:e69915.
|
||||
https://doi.org/10.1371/journal.pone.0069915
|
||||
|
||||
43. CASP; Critical Appraisal Skills Programme, Qualitative Research Checklist. Public Health Resource Unit & U.K. Centre for Evidence Based Medicine. 2013. http://www.casp-uk.net. Assessed 15 Oct 2013.
|
||||
|
||||
44. Satink T, Cup T, Ilott I, Prins J, de Swart BJ, Nijhuis-van der Sanden MW. Patients' view on the impact of stroke on their roles and self: a thematic synthesis of qualitative studies. Arch Phys Med Rehabil. 2013;94:1171-83.
|
||||
https://doi.org/10.1016/j.apmr.2013.01.011
|
||||
|
||||
45. Cieza A, Geyh S, Chatterji S, Kostanjsek N, Üstün B, Stucki G. ICF linking rules: an update based on lessons learned. J Rehabil Med. 2005;37:212-8.
|
||||
https://doi.org/10.1080/16501970510040263
|
||||
|
||||
46. Hannes K, Lockwood C. Obstacles to the implementation of evidence-based practice in Belgium: a worked example of metaaggregation. In: Hannes K, Lockwood C, editors. Synthesizing qualitative research: choosing the right approach. England: Wiley; 2012. p. 21-39.
|
||||
https://doi.org/10.1002/9781119959847.ch2
|
||||
|
||||
47. GRADE Working Group. Grading quality of evidence and strength of recommendations. BMJ. 2004;328:1490-4.
|
||||
https://doi.org/10.1136/bmj.328.7454.1490
|
||||
|
||||
48. Allaire SH, Li W, LaValley MP. Reduction of job loss in persons with rheumatic diseases receiving vocational rehabilitation. Arthritis Rheum. 2003;48:3212-8.
|
||||
https://doi.org/10.1002/art.11256
|
||||
|
||||
49. Radford K, Phillips J, Drummond A, Sach T, Walker M, Tyerman A, Haboubi N, Jones T. Return to work after traumatic brain injury: cohort comparison and economic evaluation. Brain Inj. 2013;27:507-20.
|
||||
https://doi.org/10.3109/02699052.2013.766929
|
||||
|
||||
50. Yelin E, Sonneborn D, Trupin L. The prevalence and impact of accommodations on the employment of persons 51-61 years of age with musculoskeletal conditions. Arthritis Care Res. 2000;13:168-76.
|
||||
https://doi.org/10.1002/1529-0131(200006)13:3<168::AID-ANR6>3.0.CO;2-R
|
||||
|
||||
51. Crooks VA. Women's experiences of developing musculoskeletal diseases: employment challenges and policy recommendations. Disabil Rehabil. 2007;29:1107-16.
|
||||
https://doi.org/10.1080/09638280600948193
|
||||
|
||||
52. Solstad Vedeler J, Schreuer N. Policy in action: stories on the workplace accommodation process. J Disabil Policy Stud. 2011;22:95-105.
|
||||
https://doi.org/10.1177/1044207310395942
|
||||
|
||||
53. Medin J, Barajas J, Ekberg K. Stroke patients' experiences of return to work. Disabil Rehabil. 2006;28:1051-60.
|
||||
https://doi.org/10.1080/09638280500494819
|
||||
|
||||
54. Dyck I, Jongbloed L. Women with multiple sclerosis and employment issues: a focus on social and institutional environments. Can J Occup Ther. 2000;67:337-46.
|
||||
https://doi.org/10.1177/000841740006700506
|
||||
|
||||
55. de Jonge DM, Rodger SA. Consumer-identified barriers and strategies for optimizing technology use in the workplace. Disabil Rehabil: Assist Technol. 2006;1:79-88.
|
||||
https://doi.org/10.1080/09638280500167324
|
||||
|
||||
56. Westmorland MG, Williams RM, Amick BC III, Shannon H, Rasheed F. Disability management practices in Ontario workplaces: employees' perceptions. Disabil Rehabil. 2005;27:825-35.
|
||||
https://doi.org/10.1080/09638280400020631
|
||||
|
||||
57. Gold PB, Oire SN, Fabian ES, Wewiorski NJ. Negotiating reasonable workplace accommodations: perspectives of employers, employees with disabilities, and rehabilitation service providers. J Vocat Rehab. 2012;37:25-37.
|
||||
https://doi.org/10.3233/JVR-2012-0597
|
||||
|
||||
58. Lock S, Jordan L, Bryan K, Maxim J. Work after stroke: focusing on barriers and enablers. Disabil Soc. 2005;20:33-47.
|
||||
https://doi.org/10.1080/0968759042000283629
|
||||
|
||||
59. Solovieva TI, Walls RT, Hendricks DJ, Dowler DL. Cost of workplace accommodations for individuals with disabilities: with or without personal assistance services. Disabil Health J. 2009;2:196-205.
|
||||
https://doi.org/10.1016/j.dhjo.2009.04.002
|
||||
|
||||
60. Stang A. Critical evaluation of the newcastle-ottawa scale for the assessment of the quality of nonrandomized studies in metaanalyses. Eur J Epidem. 2010;25:603-5.
|
||||
https://doi.org/10.1007/s10654-010-9491-z
|
||||
|
||||
61. Sibbald B, Roland M. Understanding controlled trials. Why are randomized controlled trials important? BMJ. 1998;316:201.
|
||||
https://doi.org/10.1136/bmj.316.7126.201
|
||||
|
||||
62. Finger ME, Escorpizo R, Bostan C, De Bie R. Work Rehabilitation Questionnaire (WORQ): development and preliminary psychometric evidence of an ICF-based questionnaire for vocational rehabilitation. J Occup Rehabil. 2013. Epub ahead of print. http://www.ncbi.nlm.nih.gov/pubmed/24281830. Assessed 24 June 2014.
|
||||
https://doi.org/10.1007/s10926-013-9485-2
|
||||
|
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2. Knowles MR, Boucher RC (2002) Mucus clearance as a primary innate defense mechanism for mammalian airways. J Clin Investig 109: 571–577.
|
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3. Antunes MB, Cohen NA (2007) Mucociliary clearance - a critical upper airway host defense mechanism and methods of assessment. Curr Opin Allergy Clin Immunol 7: 5–10.
|
||||
4. Riordan JR, Rommens JM, Kerem BS, Alon N, Rozmahel R, et al. (1989) Identification of the Cystic-Fibrosis Gene - Cloning and Characterization of Complementary-Dna. Science 245: 1066–1072.
|
||||
5. Rommens JM, Iannuzzi MC, Kerem BS, Drumm ML, Melmer G, et al. (1989) Identification of the Cystic-Fibrosis Gene - Chromosome Walking and Jumping. Science 245: 1059–1065.
|
||||
6. Bobadilla JL, Macek M, Fine JP, Farrell PM (2002) Cystic fibrosis: A worldwide analysis of CFTR mutations - Correlation with incidence data and application to screening. Human Mutation 19: 575–606.
|
||||
7. Qu BH, Thomas PJ (1996) Alteration of the cystic fibrosis transmembrane conductance regulator folding pathway - Effects of the Delta F508 mutation on the thermodynamic stability and folding yield of NBD1. J Biol Chem 271: 7261–7264.
|
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02-data/raw/02_snowballing-starts/Nevala2015/DOIs_only.txt
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|
|||
https://doi.org/10.1023/A:1009445929841
|
||||
https://doi.org/10.3233/TAD-2004-16402
|
||||
https://doi.org/10.1177/0095399707303639
|
||||
https://doi.org/10.1016/0169-8141(95)00045-3
|
||||
https://doi.org/10.1023/A:1021375500867
|
||||
https://doi.org/10.1002/art.20690
|
||||
https://doi.org/10.17011/ht/urn.2006158
|
||||
https://doi.org/10.1016/j.apergo.2006.06.003
|
||||
https://doi.org/10.1007/s10067-007-0642-x
|
||||
https://doi.org/10.1007/s10926-009-9168-1
|
||||
https://doi.org/10.3233/JVR-130646
|
||||
https://doi.org/10.1007/s10672-007-9062-y
|
||||
https://doi.org/10.3109/09638288.2010.503257
|
||||
https://doi.org/10.5271/sjweh.3149
|
||||
https://doi.org/10.1016/j.dhjo.2010.03.001
|
||||
https://doi.org/10.1177/0149206305277800
|
||||
https://doi.org/10.1037/0021-9010.86.3.425
|
||||
https://doi.org/10.1016/j.apergo.2007.08.006
|
||||
https://doi.org/10.1007/s10926-012-9380-2
|
||||
https://doi.org/10.5271/sjweh.1009
|
||||
https://doi.org/10.3233/WOR-2009-0913
|
||||
https://doi.org/10.1097/PHM.0b013e31816de163
|
||||
https://doi.org/10.1002/14651858.CD007256.pub2
|
||||
https://doi.org/10.3109/17483101003746360
|
||||
https://doi.org/10.2340/16501977-0427
|
||||
https://doi.org/10.3233/TAD-2012-0332
|
||||
https://doi.org/10.1136/bmj.322.7280.204
|
||||
https://doi.org/10.3109/17483107.2010.529631
|
||||
https://doi.org/10.1186/1471-2458-12-470
|
||||
https://doi.org/10.1002/9780470712184.ch5
|
||||
https://doi.org/10.1097/01.BRS.0000065484.95996.AF
|
||||
https://doi.org/10.1002/14651858
|
||||
https://doi.org/10.7314/APJCP.2013.14.2.645
|
||||
https://doi.org/10.1136/jech-2013-203116
|
||||
https://doi.org/10.1371/journal.pone.0069915
|
||||
https://doi.org/10.1016/j.apmr.2013.01.011
|
||||
https://doi.org/10.1080/16501970510040263
|
||||
https://doi.org/10.1002/9781119959847.ch2
|
||||
https://doi.org/10.1136/bmj.328.7454.1490
|
||||
https://doi.org/10.1002/art.11256
|
||||
https://doi.org/10.3109/02699052.2013.766929
|
||||
https://doi.org/10.1002/1529-0131(200006)13:3<168::AID-ANR6>3.0.CO;2-R
|
||||
https://doi.org/10.1080/09638280600948193
|
||||
https://doi.org/10.1177/1044207310395942
|
||||
https://doi.org/10.1080/09638280500494819
|
||||
https://doi.org/10.1177/000841740006700506
|
||||
https://doi.org/10.1080/09638280500167324
|
||||
https://doi.org/10.1080/09638280400020631
|
||||
https://doi.org/10.3233/JVR-2012-0597
|
||||
https://doi.org/10.1080/0968759042000283629
|
||||
https://doi.org/10.1016/j.dhjo.2009.04.002
|
||||
https://doi.org/10.1007/s10654-010-9491-z
|
||||
https://doi.org/10.1136/bmj.316.7126.201
|
||||
https://doi.org/10.1007/s10926-013-9485-2
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62
02-data/raw/02_snowballing-starts/Nevala2015/references.txt
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|
|||
1. Gates LB. Workplace accommodation as a social process. J Occup Rehabil. 2000;10:85–98.
|
||||
2. Butterfield TM, Ramseur JH. Research and case study findings in the area of workplace accommodations including provisions for assistive technology: a literature review. Technol Disabil. 2004;16:201–10.
|
||||
3. Balser DB. Predictors of workplace accommodations for employees with mobility—related disabilities. Admin Soc. 2007;39:656–83.
|
||||
4. Springer J, Siebes C. Position controlled input device for handicapped: experimental studies with a footmouse. Int J Ind Ergon. 1996;17:135–52.
|
||||
5. Nevala-Puranen N, Seuri M, Simola A, Elo J. Physically disabled at work: need for ergonomic interventions. J Occup Rehabil. 1999;9:215–25.
|
||||
6. Lacaille D, Sheps S, Spinelli JJ, Chalmers A, Esdaile JM. Identification of modifiable work-related factors that influence the risk of work disability in rheumatoid arthritis. Arthritis Rheum. 2004;51:843–52.
|
||||
7. Mauri C, Cranollers T, Cores J, Garcia M. Computer vision interaction for people with severe movement restrictions. Human Technol. 2006;2:38–54.
|
||||
8. Chen H-C, Liu Y-P, Chen C-L, Chen C-Y. Design and feasibility study of an integrated pointing device apparatus for individuals with spinal cord injury. Appl Ergon. 2007;38:275–83.
|
||||
9. Zirkzee EJM, Sneep AC, de Buck PDM, Allaart CF, Peeters AJ, Ronday HK, Westedt ML, le Cessie S, Vliet Vlieland TPM. Sick leave and work disability in patients with early arthritis. Clin Rheumatol. 2008;27:11–9.
|
||||
10. De Rijk A, Nijhuis F, Alexanderson K. Gender differences in work modifications and changed job characteristics during the return-to-work process: a prospective cohort study. J Occup Rehabil. 2009;19:185–93.
|
||||
11. Rumrill PD, Fraser RT, Johnson KL. Employment and workplace accommodation outcomes among participants in a vocational consultation service for people with multiple sclerosis. J Vocat Rehab. 2013;39:85–90.
|
||||
12. Balser DB, Harris MM. Factors affecting employee satisfaction with disability accommodation: a field study. Employ Respond Rights J. 2008;20:13–28.
|
||||
13. Ten Katen K, Beelen A, Nollet F, Frings-Dresen MH, Sluiter JK. Overcoming barriers to work participation for patients with postpoliomyelitis syndrome. Disabil Rehabil. 2011;33:522–9.
|
||||
14. Varekamp I, Verbeek JH, de Boer A, van Dijk F. Effect of job maintenance training program for employees with chronic disease—a randomized controlled trial on self-efficacy, job satisfaction, and fatique. Scand J Work Environ Health. 2011;37:288–97.
|
||||
15. Solovieva TI, Dowler DL, Walls RT. Employer benefits from making workplace accommodations. Disabil Health J. 2011;4:39–45.
|
||||
16. Schartz HA, Hendricks DJ, Blank P. Workplace accommodations: evidence based outcomes. Work. 2006;27:345–54. 17. Solovieva TI, Hendricks DJ, Walls RT, Dowler DL. Workplace
|
||||
personal assistance services for people with disabilities: making productive employment possible. J Rehabil. 2010;76:3–8.
|
||||
18. Baldridge DC, Veiga JF. The impact of anticipated social consequences on recurring disability accommodations requests. J Manag. 2006;32:158–79.
|
||||
19. Riemer-Reiss ML, Wacker RR. Factors associated with assistive technology discontinuance among individuals with disabilities. J Rehabil. 2000;66:44–50.
|
||||
20. Colquitt JA, Conlon DE, Wesson MJ, Porter COLH, Ng KY. Justice at the millennium: a meta-analytic review of 25 years of organizational justice research. J Appl Psychol. 2001;86:425–45.
|
||||
21. Gamble MJ, Dowler DL, Orslene LE. Assistive technology: choosing the right tool for the right job. J Vocat Rehab. 2006;24:73–80.
|
||||
22. Rivilis I, Van Eerd D, Cullen K, Cole DC, Irvin E, Tyson J, Mahood Q. Effectiveness of participatory ergonomics interventions on health outcomes: a systematic review. Appl Ergon. 2008;39:342–58.
|
||||
23. Dunstan DA, MacEachen E. Bearing the brunt: co-workers’ experiences of work reintegration processes. J Occup Rehabil. 2013;23:44–54.
|
||||
24. MacEachen E, Clarke J, France RL, Irvin E. Workplace-based return to work literature review group. Scandinavian Systematic review of the qualitative literature on return to work after injury. Scand J Work Environ Health. 2006;32:257–69.
|
||||
25. Schreuer N, Myhill WN, Aratan-Bergman T, Samant D, Blanck P. Workplace accommodations: occupational therapists as mediators in the interactive process. Work. 2009;34:149–60.
|
||||
26. Auger C, Demers L, Gelinas I, Jutai J, Fuhrer M. Powered mobility for middle-aged and older adults: systematic review of outcomes and appraisal of published evidence. Am J Phys Med Rehabil. 2008;87:666–80.
|
||||
27. Khan F, Ng L, Turner-Stokes L. Effectiveness of vocational rehabilitation intervention on the return to work and employment of persons with multiple sclerosis. Cochrane Database Syst Rev. 2009;(1):CD007256. doi:10.1002/14651858.CD007256.pub2.
|
||||
28. Sauer AL, Parks A, Heyn PC. Assistive technology effects on the employment outcomes for people with cognitive disabilities: a systematic review. Disabil Rehabil Assist Technol. 2010;5:377–91.
|
||||
29. Salminen A-L, Brandt Å, Samuelsson K, Töytäri O, Malmivaara A. Mobility devices to promote activity and participation: a systematic review. J Rehabil Med. 2009;41:697–706.
|
||||
30. Anttila H, Samuelsson K, Salminen A-L, Brandt Å. Quality of evidence of assistive technology interventions for people with disability: an overview of systematic reviews. Technol Disabil. 2012;24:9–48.
|
||||
31. Crowther RE, Marshall M, Bond GR, Huxley P. Helping people with severe mental illness to obtain work: systematic review. BMJ. 2001;322:204–8.
|
||||
32. World Health Organisation: ICF. International Classification of Functioning, Disability and Health. Geneva; 2001.
|
||||
33. Bauer SM, Elsaesser L-J, Arthanat S. Assistive technology device classification based upon the World Health Organization’s, International Classification of Functioning, Disability and Health (ICF). Disabil Rehabil Assist Technol. 2011;6:243–59.
|
||||
34. Anner J, Schwegler U, Kunz R, Trezzini B, de Boer W. Evaluation of work disability and the International Classification of Functioning, Disability and Health: what to expect and what not. BMC Public Health. 2012;12:470.
|
||||
35. O’Connor D, Green S, Higgins JPT. Defining the review question and developing criteria for including studies. In: Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions. West Sussex: Wiley; 2008. p. 83–94.
|
||||
36. van Tulder M, Furlan A, Bombardier C, Bouter L, and the Editorial Board of the Cochrane Collaboration Back Review Group. Updated method guidelines for systematic reviews in the cochrane collaboration back review group. Spine. 2003;28:1290–1299.
|
||||
37. Khan F, Turner-Stokes L, Ng L, Kilpatrick T. Multidisciplinary rehabilitation for adults with multiple sclerosis. Cochrane Database Systic Rev. 2007;(2):CD006036. doi:10.1002/14651858. CD006036.pub2.
|
||||
38. Turner-Stokes L, Nair A, Disler PB, Wade DT. Multi-disciplinary rehabilitation for acquired brain injury in adults of working age. Cochrane Database Syst Rev. 2005;(3):CD004170. doi:10.1002/ 14651858.CD004170.pub2.
|
||||
39. Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M, Tugwell P. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta-analyses. 2013. http:// www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Assessed 20 Nov 2013.
|
||||
40. Huang Y-J, Qi W-X, He A-N, Sun Y-J, Shen Z, Yao Y. Prognostic value of tissue vascular endothelial growth factor expression in bladder cancer: a meta-analysis. Asian Pac J Cancer Prevent. 2013;14:645–9.
|
||||
41. Teng T-HK, Williams TA, Bremner A, Tohira H, Franklin P, Tonkin A, Jacobs I, Finn J. A systematic review of air pollution and incidence of out-of-hospital cardiac arrest. J Epidem Commun Health. 2014;68:37–43.
|
||||
42. Wang Y, Liu YJ, Ji J, Deng X, He QQ. Passive smoking and risk of type 2 diabetes: a meta-analysis of prospective cohort studies. PLoS ONE. 2013;8:e69915.
|
||||
43. CASP; Critical Appraisal Skills Programme, Qualitative Research Checklist. Public Health Resource Unit & U.K. Centre for Evidence Based Medicine. 2013. http://www.casp-uk.net. Assessed 15 Oct 2013.
|
||||
44. Satink T, Cup T, Ilott I, Prins J, de Swart BJ, Nijhuis-van der Sanden MW. Patients’ view on the impact of stroke on their roles and self: a thematic synthesis of qualitative studies. Arch Phys Med Rehabil. 2013;94:1171–83.
|
||||
45. Cieza A, Geyh S, Chatterji S, Kostanjsek N, Üstün B, Stucki G. ICF linking rules: an update based on lessons learned. J Rehabil Med. 2005;37:212–8.
|
||||
46. Hannes K, Lockwood C. Obstacles to the implementation of evidence-based practice in Belgium: a worked example of metaaggregation. In: Hannes K, Lockwood C, editors. Synthesizing qualitative research: choosing the right approach. England: Wiley; 2012. p. 21–39.
|
||||
47. GRADE Working Group. Grading quality of evidence and strength of recommendations. BMJ. 2004;328:1490–4.
|
||||
48. Allaire SH, Li W, LaValley MP. Reduction of job loss in persons with rheumatic diseases receiving vocational rehabilitation. Arthritis Rheum. 2003;48:3212–8.
|
||||
49. Radford K, Phillips J, Drummond A, Sach T, Walker M, Tyerman A, Haboubi N, Jones T. Return to work after traumatic brain injury: cohort comparison and economic evaluation. Brain Inj. 2013;27:507–20.
|
||||
50. Yelin E, Sonneborn D, Trupin L. The prevalence and impact of accommodations on the employment of persons 51–61 years of age with musculoskeletal conditions. Arthritis Care Res. 2000;13:168–76.
|
||||
51. Crooks VA. Women’s experiences of developing musculoskeletal diseases: employment challenges and policy recommendations. Disabil Rehabil. 2007;29:1107–16.
|
||||
52. Solstad Vedeler J, Schreuer N. Policy in action: stories on the workplace accommodation process. J Disabil Policy Stud. 2011;22:95–105.
|
||||
53. Medin J, Barajas J, Ekberg K. Stroke patients’ experiences of return to work. Disabil Rehabil. 2006;28:1051–60.
|
||||
54. Dyck I, Jongbloed L. Women with multiple sclerosis and employment issues: a focus on social and institutional environments. Can J Occup Ther. 2000;67:337–46.
|
||||
55. de Jonge DM, Rodger SA. Consumer-identified barriers and strategies for optimizing technology use in the workplace. Disabil Rehabil: Assist Technol. 2006;1:79–88.
|
||||
56. Westmorland MG, Williams RM, Amick BC III, Shannon H, Rasheed F. Disability management practices in Ontario workplaces: employees’ perceptions. Disabil Rehabil. 2005;27:825–35.
|
||||
57. Gold PB, Oire SN, Fabian ES, Wewiorski NJ. Negotiating reasonable workplace accommodations: perspectives of employers, employees with disabilities, and rehabilitation service providers. J Vocat Rehab. 2012;37:25–37.
|
||||
58. Lock S, Jordan L, Bryan K, Maxim J. Work after stroke: focusing on barriers and enablers. Disabil Soc. 2005;20:33–47.
|
||||
59. Solovieva TI, Walls RT, Hendricks DJ, Dowler DL. Cost of workplace accommodations for individuals with disabilities: with or without personal assistance services. Disabil Health J. 2009;2:196–205.
|
||||
60. Stang A. Critical evaluation of the newcastle-ottawa scale for the assessment of the quality of nonrandomized studies in metaanalyses. Eur J Epidem. 2010;25:603–5.
|
||||
61. Sibbald B, Roland M. Understanding controlled trials. Why are randomized controlled trials important? BMJ. 1998;316:201.
|
||||
62. Finger ME, Escorpizo R, Bostan C, De Bie R. Work Rehabilitation Questionnaire (WORQ): development and preliminary psychometric evidence of an ICF-based questionnaire for vocational rehabilitation. J Occup Rehabil. 2013. Epub ahead of print. http://www.ncbi.nlm.nih.gov/pubmed/24281830. Assessed 24 June 2014.
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|||
1. Adler, N.E., Boyce, T., Chesney, M.A., Cohen, S., Folkman, S., Kahn, R.L., Syme, S.L., 1994. Socioeconomic status and health: the challenge of the gradient. Am. Psychol. 49 (1), 15.
|
||||
https://doi.org/10.1037/0003-066X.49.1.15
|
||||
|
||||
2. Berchick, E.R., Gallo, W.T., Maralani, V., Kasl, S.V., 2012. Inequality and the association between involuntary job loss and depressive symptoms. Soc. Sci. Med. 75 (10), 1891-1894.
|
||||
https://doi.org/10.1016/j.socscimed.2012.07.024
|
||||
|
||||
3. Bongaarts, J., 2016. Pensions at a glance 2015: OECD and G20 indicators Paris: OECD publishing, 2015. 376 p. $54.00 (pbk.). Popul. Dev. Rev. 42 (2), 383-384.
|
||||
https://doi.org/10.1111/j.1728-4457.2016.00147.x
|
||||
|
||||
4. Chung, S., Domino, M.E., Stearns, S.C., 2009a. The effect of retirement on weight. J. Gerontol. B Psychol. Sci. Soc. Sci. 64 (5), 656-665.
|
||||
https://doi.org/10.1093/geronb/gbn044
|
||||
|
||||
5. Chung, S., Domino, M.E., Stearns, S.C., Popkin, B.M., 2009b. Retirement and physical activity: analyses by occupation and wealth. Am. J. Prev. Med. 36 (5), 422-428.
|
||||
https://doi.org/10.1016/j.amepre.2009.01.026
|
||||
|
||||
6. Cooke, M., 2006. Policy changes and the labour force participation of older workers: evidence from six countries. Can. J. Aging 25 (4), 387-400.
|
||||
https://doi.org/10.1353/cja.2007.0015
|
||||
|
||||
7. Corna, L.M., 2013. A life course perspective on socioeconomic inequalities in health: a critical review of conceptual frameworks. Adv. Life Course Res. 18 (2), 150-159.
|
||||
https://doi.org/10.1016/j.alcr.2013.01.002
|
||||
|
||||
8. de Grip, A., Dupuy, A., Jolles, J., van Boxtel, M., 2015. Retirement and cognitive development in The Netherlands: are the retired really inactive? Econ. Hum. Biol. 19, 157-169.
|
||||
https://doi.org/10.1016/j.ehb.2015.08.004
|
||||
|
||||
9. Denton, F.T., Spencer, B.G., 2009. What is retirement? A review and assessment of alternative concepts and measures. Can. J. Aging 28 (1), 63-76.
|
||||
https://doi.org/10.1017/S0714980809090047
|
||||
|
||||
10. Donaldson, T., Earl, J.K., Muratore, A.M., 2010. Extending the integrated model of retirement adjustment: incorporating mastery and retirement planning. J. Vocat. Behav. 77 (2), 279-289.
|
||||
https://doi.org/10.1016/j.jvb.2010.03.003
|
||||
|
||||
11. Drożdżak, Z., Turek, K., 2016. Retirement and perceived social inferiority strongly link with health inequalities in older age: decomposition of a concentration index of poor health based on Polish cross-sectional data. Int. J. Equity Health 15 (1), 21.
|
||||
https://doi.org/10.1186/s12939-016-0310-3
|
||||
|
||||
12. Forman-Hoffman, V.L., Richardson, K.K., Yankey, J.W., Hillis, S.L., Wallace, R.B., Wolinsky, F.D., 2008. Retirement and weight changes among men and women in the health and retirement study. J. Gerontol. B Psychol. Sci. Soc. Sci. 63 (3), S146-S153.
|
||||
https://doi.org/10.1093/geronb/63.3.S146
|
||||
|
||||
13. Gallo, W.T., Bradley, E.H., Dubin, J.A., Jones, R.N., Falba, T.A., Teng, H.-M., Kasl, S.V., 2006. The persistence of depressive symptoms in older workers who experience involuntary job loss: results from the health and retirement survey. J. Gerontol. B Psychol. Sci. Soc. Sci. 61 (4), S221-S228.
|
||||
https://doi.org/10.1093/geronb/61.4.S221
|
||||
|
||||
14. Gallo, W.T., Brand, J.E., Teng, H.-M., Leo-Summers, L., Byers, A.L., 2009. Differential impact of involuntary job loss on physical disability among older workers: does predisposition matter? Res. Aging 31 (3), 345-360.
|
||||
https://doi.org/10.1177/0164027508330722
|
||||
|
||||
15. Gueorguieva, R., Sindelar, J.L., Wu, R., Gallo, W.T., 2011. Differential changes in body mass index after retirement by occupation: hierarchical models. Int. J. Publ. Health 56 (1), 111-116.
|
||||
https://doi.org/10.1007/s00038-010-0166-z
|
||||
|
||||
16. Harbers, M., 2008. Old-age Dependency Ratio, Trends and Projections in Selected Countries, 1950-2050. Retrieved from Bilthoven.
|
||||
|
||||
17. Hayden, J.A., Côté, P., Bombardier, C., 2006. Evaluation of the quality of prognosis studies in systematic reviews. Ann. Intern. Med. 144 (6), 427-437.
|
||||
https://doi.org/10.7326/0003-4819-144-6-200603210-00010
|
||||
|
||||
18. Helminger, W., Martins, C., Scuvée, B., 2016. EU in the World - 2016 Edition Luxembourg. Retrieved from.
|
||||
|
||||
19. Hessel, P., 2016. Does retirement (really) lead to worse health among European men and women across all educational levels? Soc. Sci. Med. 151, 19-26.
|
||||
https://doi.org/10.1016/j.socscimed.2015.12.018
|
||||
|
||||
20. Hoogendoorn, W.E., van Poppel, M.N., Bongers, P.M., Koes, B.W., Bouter, L.M., 2000. Systematic review of psychosocial factors at work and private life as risk factors for back pain. Spine 25 (16), 2114-2125.
|
||||
https://doi.org/10.1097/00007632-200008150-00017
|
||||
|
||||
21. Horner, E.M., Cullen, M.R., 2016. The impact of retirement on health: quasi-experimental methods using administrative data. BMC Health Serv. Res. 16 (1), 68.
|
||||
https://doi.org/10.1186/s12913-016-1318-5
|
||||
|
||||
22. Idler, E.L., Benyamini, Y., 1997. Self-rated health and mortality: a review of twenty-seven community studies. J. Health Soc. Behav. 38 (1), 21-37.
|
||||
https://doi.org/10.2307/2955359
|
||||
|
||||
23. Jokela, M., Ferrie, J.E., Gimeno, D., Chandola, T., Shipley, M.J., Head, J., et al., 2010. From midlife to early old age: health trajectories associated with retirement. Epidemiology 21 (3), 284-290.
|
||||
https://doi.org/10.1097/EDE.0b013e3181d61f53
|
||||
|
||||
24. Kämpfen, F., Maurer, J., 2016. Time to burn (calories)? The impact of retirement on physical activity among mature Americans. J. Health Econ. 45, 91-102.
|
||||
https://doi.org/10.1016/j.jhealeco.2015.12.001
|
||||
|
||||
25. Kim, J.E., Moen, P., 2002. Retirement transitions, gender, and psychological well-being: a life-course, ecological model. J. Gerontol. B Psychol. Sci. Soc. Sci. 57 (3), P212-P222.
|
||||
https://doi.org/10.1093/geronb/57.3.P212
|
||||
|
||||
26. Koeneman, M.A., Chinapaw, M.J., Verheijden, M.W., van Tilburg, T.G., Visser, M., Deeg, D.J., Hopman-Rock, M., 2012. Do major life events influence physical activity among older adults: the Longitudinal Aging Study Amsterdam. Int. J. Behav. Nutr. Phys. Activ. 9 (1), 147.
|
||||
https://doi.org/10.1186/1479-5868-9-147
|
||||
|
||||
27. Laaksonen, M., Metsä-Simola, N., Martikainen, P., Pietiläinen, O., Rahkonen, O., Gould, R., et al., 2012. Trajectories of mental health before and after old-age and disability retirement: a register-based study on purchases of psychotropic drugs. Scand. J. Work. Environ. Health 38 (5), 409-417.
|
||||
https://doi.org/10.5271/sjweh.3290
|
||||
|
||||
28. Latif, E., 2013. The impact of retirement on mental health in Canada. J. Ment. Health Pol. Econ. 16 (1), 35-46.
|
||||
|
||||
29. Leijten, F.R., de Wind, A., van den Heuvel, S.G., Ybema, J.F., van der Beek, A.J., Robroek, S.J., Burdorf, A., 2015. The influence of chronic health problems and work-related factors on loss of paid employment among older workers. J. Epidemiol. Community Health 69 (11), 1058-1065.
|
||||
https://doi.org/10.1136/jech-2015-205719
|
||||
|
||||
30. Mackenbach, J.P., Kunst, A.E., 1997. Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe. Soc. Sci. Med. 44 (6), 757-771.
|
||||
https://doi.org/10.1016/S0277-9536(96)00073-1
|
||||
|
||||
31. Mein, G., Higgs, P., Ferrie, J., Stansfeld, S., 1998. Paradigms of retirement: the importance of health and ageing in the Whitehall II study. Soc. Sci. Med. 47 (4), 535-545.
|
||||
https://doi.org/10.1016/S0277-9536(98)00146-4
|
||||
|
||||
32. Mein, G., Martikainen, P., Hemingway, H., Stansfeld, S., Marmot, M., 2003. Is retirement good or bad for mental and physical health functioning? Whitehall II longitudinal study of civil servants. J. Epidemiol. Community Health 57 (1), 46-49.
|
||||
https://doi.org/10.1136/jech.57.1.46
|
||||
|
||||
33. Moon, J.R., Glymour, M.M., Subramanian, S., Avendaño, M., Kawachi, I., 2012. Transition to retirement and risk of cardiovascular disease: prospective analysis of the US health and retirement study. Soc. Sci. Med. 75 (3), 526-530.
|
||||
https://doi.org/10.1016/j.socscimed.2012.04.004
|
||||
|
||||
34. National Institutes of Health, 2014. Quality Assessment Tool for Observational Cohort and Cross-sectional Studies. Retrieved from: www.nhlbi.nih.gov/health-pro/ guidelines/in-develop/cardiovascular-risk-reduction/tools/cohort.
|
||||
|
||||
35. Nooyens, A.C., Visscher, T.L., Schuit, A.J., van Rossum, C.T., Verschuren, W.M., van Mechelen, W., Seidell, J.C., 2005. Effects of retirement on lifestyle in relation to changes in weight and waist circumference in Dutch men: a prospective study. Publ. Health Nutr. 8 (8), 1266-1274.
|
||||
https://doi.org/10.1079/PHN2005756
|
||||
|
||||
36. Olesen, K., Rod, N.H., Madsen, I.E., Bonde, J.P., Rugulies, R., 2015. Does retirement reduce the risk of mental disorders? A national registry-linkage study of treatment for mental disorders before and after retirement of 245 082 Danish residents. Occup. Environ. Med. 72 (5), 366-372.
|
||||
https://doi.org/10.1136/oemed-2014-102228
|
||||
|
||||
37. Platts, L.G., Webb, E., Zins, M., Goldberg, M., Netuveli, G., 2015. Mid-life occupational grade and quality of life following retirement: a 16-year follow-up of the French GAZEL study. Aging Ment. Health 19 (7), 634-646.
|
||||
https://doi.org/10.1080/13607863.2014.955458
|
||||
|
||||
38. Rechel, B., Grundy, E., Robine, J.-M., Cylus, J., Mackenbach, J.P., Knai, C., McKee, M., 2013. Ageing in the european union. Lancet 381 (9874), 1312-1322.
|
||||
https://doi.org/10.1016/S0140-6736(12)62087-X
|
||||
|
||||
39. Rijs, K.J., Cozijnsen, R., Deeg, D.J., 2012. The effect of retirement and age at retirement on self-perceived health after three years of follow-up in Dutch 55-64-year-olds. Ageing Soc. 32 (2), 281-306.
|
||||
https://doi.org/10.1017/S0144686X11000237
|
||||
|
||||
40. Salm, M., 2009. Does job loss cause ill health? Health Econ. 18 (9), 1075-1089.
|
||||
https://doi.org/10.1002/hec.1537
|
||||
|
||||
41. Schuring, M., Robroek, S.J., Lingsma, H.F., Burdorf, A., 2015. Educational differences in trajectories of self-rated health before, during, and after entering or leaving paid employment in the European workforce. Scand. J. Work. Environ. Health 41 (5), 441-450.
|
||||
https://doi.org/10.5271/sjweh.3514
|
||||
|
||||
42. Shavers, V.L., 2007. Measurement of socioeconomic status in health disparities research. J. Natl. Med. Assoc. 99 (9), 1013.
|
||||
|
||||
43. Shultz, K.S., Morton, K.R., Weckerle, J.R., 1998. The infulence of push and pull factors on voluntary and involuntary early retirees' retirement decision and adjustment. J. Vocat. Behav. 53 (1), 45-57.
|
||||
https://doi.org/10.1006/jvbe.1997.1610
|
||||
|
||||
44. Sjösten, N., Kivimäki, M., Singh-Manoux, A., Ferrie, J.E., Goldberg, M., Zins, M., et al., 2012. Change in physical activity and weight in relation to retirement: the French GAZEL Cohort Study. BMJ open 2 (1), e000522.
|
||||
https://doi.org/10.1136/bmjopen-2011-000522
|
||||
|
||||
45. Slingerland, A.S., van Lenthe, F.J., Jukema, J.W., Kamphuis, C.B., Looman, C., Giskes, K., et al., 2007. Aging, retirement, and changes in physical activity: prospective cohort findings from the GLOBE study. Am. J. Epidemiol. 165 (12), 1356-1363.
|
||||
https://doi.org/10.1093/aje/kwm053
|
||||
|
||||
46. Vahtera, J., Westerlund, H., Hall, M., Sjösten, N., Kivimäki, M., Salo, P., et al., 2009. Efefct of retirement on sleep disturbances: the GAZEL prospective cohort study. Sleep 32 (11), 1459-1466.
|
||||
https://doi.org/10.1093/sleep/32.11.1459
|
||||
|
||||
47. van der Heide, I., van Rijn, R.M., Robroek, S.J., Burdorf, A., Proper, K.I., 2013. Is retirement good for your health? A systematic review of longitudinal studies. BMC Publ. Health 13 (1), 1180.
|
||||
https://doi.org/10.1186/1471-2458-13-1180
|
||||
|
||||
48. van Zon, S.K., Bültmann, U., Reijneveld, S.A., de Leon, C.F.M., 2016. Functional health decline before and after retirement: a longitudinal analysis of the Health and Retirement Study. Soc. Sci. Med. 170, 26-34.
|
||||
https://doi.org/10.1016/j.socscimed.2016.10.002
|
||||
|
||||
49. Vaupel, J.W., 2010. Biodemography of human ageing. Nature 464 (7288), 536-542.
|
||||
https://doi.org/10.1038/nature08984
|
||||
|
||||
50. Wallace, R.B., Herzog, A.R., 1995. Overview of the health measures in the health and retirement study. J. Hum. Resour. 30, S84-S107.
|
||||
https://doi.org/10.2307/146279
|
||||
|
||||
51. Wang, M., 2007. Profiling retirees in the retirement transition and adjustment process: examining the longitudinal change patterns of retirees' psychological well-being. J. Appl. Psychol. 92 (2), 455.
|
||||
https://doi.org/10.1037/0021-9010.92.2.455
|
||||
|
||||
52. Wang, M., Shultz, K.S., 2010. Employee retirement: a review and recommendations for future investigation. J. Manag. 36 (1), 172-206.
|
||||
https://doi.org/10.1177/0149206309347957
|
||||
|
||||
53. Welch, N., McNaughton, S.A., Hunter, W., Hume, C., Crawford, D., 2009. Is the perception of time pressure a barrier to healthy eating and physical activity among women? Publ. Health Nutr. 12 (7), 888-895.
|
||||
https://doi.org/10.1017/S1368980008003066
|
||||
|
||||
54. Westerlund, H., Kivimäki, M., Singh-Manoux, A., Melchior, M., Ferrie, J.E., Pentti, J., et al., 2009. Self-rated health before and after retirement in France (GAZEL): a cohort study. Lancet 374 (9705), 1889-1896.
|
||||
https://doi.org/10.1016/S0140-6736(09)61570-1
|
||||
|
||||
55. Westerlund, H., Vahtera, J., Ferrie, J.E., Singh-Manoux, A., Pentti, J., Melchior, M., et al., 2010. Effect of retirement on major chronic conditions and fatigue: French GAZEL occupational cohort study. Bmj 341, c6149.
|
||||
https://doi.org/10.1136/bmj.c6149
|
||||
|
||||
56. Wheaton, B., 1990. Life transitions, role histories, and mental health. Am. Socio. Rev. 55 (2), 209-223.
|
||||
https://doi.org/10.2307/2095627
|
||||
|
||||
57. WHO, 2013. Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013-2020.
|
||||
|
||||
58. WHO, 2017. Mental Health: a State of Well-being 2014. Retrieved from: http://www. who.int/features/factfiles/mental_health/en/.
|
||||
|
||||
59. Zantinge, E.M., van den Berg, M., Smit, H.A., Picavet, H.S.J., 2013. Retirement and a healthy lifestyle: opportunity or pitfall? A narrative review of the literature. Eur. J. Publ. Health 24 (3), 433-439.
|
||||
https://doi.org/10.1093/eurpub/ckt157
|
||||
|
||||
60. Zins, M., Guéguen, A., Kivimaki, M., Singh-Manoux, A., Leclerc, A., Vahtera, J., et al., 2011. Effect of retirement on alcohol consumption: longitudinal evidence from the French Gazel cohort study. PLoS One 6 (10), e26531.
|
||||
https://doi.org/10.1371/journal.pone.0026531
|
||||
|
||||
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||||
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1. Boucher RC (2004) New concepts of the pathogenesis of cystic fibrosis lung disease. Eur Resp J 23: 146–158.
|
||||
2. Knowles MR, Boucher RC (2002) Mucus clearance as a primary innate defense mechanism for mammalian airways. J Clin Investig 109: 571–577.
|
||||
3. Antunes MB, Cohen NA (2007) Mucociliary clearance - a critical upper airway host defense mechanism and methods of assessment. Curr Opin Allergy Clin Immunol 7: 5–10.
|
||||
4. Riordan JR, Rommens JM, Kerem BS, Alon N, Rozmahel R, et al. (1989) Identification of the Cystic-Fibrosis Gene - Cloning and Characterization of Complementary-Dna. Science 245: 1066–1072.
|
||||
5. Rommens JM, Iannuzzi MC, Kerem BS, Drumm ML, Melmer G, et al. (1989) Identification of the Cystic-Fibrosis Gene - Chromosome Walking and Jumping. Science 245: 1059–1065.
|
||||
6. Bobadilla JL, Macek M, Fine JP, Farrell PM (2002) Cystic fibrosis: A worldwide analysis of CFTR mutations - Correlation with incidence data and application to screening. Human Mutation 19: 575–606.
|
||||
7. Qu BH, Thomas PJ (1996) Alteration of the cystic fibrosis transmembrane conductance regulator folding pathway - Effects of the Delta F508 mutation on the thermodynamic stability and folding yield of NBD1. J Biol Chem 271: 7261–7264.
|
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https://doi.org/10.1037/0003-066X.49.1.15
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||||
https://doi.org/10.1016/j.socscimed.2012.07.024
|
||||
https://doi.org/10.1111/j.1728-4457.2016.00147.x
|
||||
https://doi.org/10.1093/geronb/gbn044
|
||||
https://doi.org/10.1016/j.amepre.2009.01.026
|
||||
https://doi.org/10.1353/cja.2007.0015
|
||||
https://doi.org/10.1016/j.alcr.2013.01.002
|
||||
https://doi.org/10.1016/j.ehb.2015.08.004
|
||||
https://doi.org/10.1017/S0714980809090047
|
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https://doi.org/10.1016/j.jvb.2010.03.003
|
||||
https://doi.org/10.1186/s12939-016-0310-3
|
||||
https://doi.org/10.1093/geronb/63.3.S146
|
||||
https://doi.org/10.1093/geronb/61.4.S221
|
||||
https://doi.org/10.1177/0164027508330722
|
||||
https://doi.org/10.1007/s00038-010-0166-z
|
||||
https://doi.org/10.7326/0003-4819-144-6-200603210-00010
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https://doi.org/10.1016/j.socscimed.2015.12.018
|
||||
https://doi.org/10.1097/00007632-200008150-00017
|
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https://doi.org/10.1186/s12913-016-1318-5
|
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https://doi.org/10.2307/2955359
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https://doi.org/10.1097/EDE.0b013e3181d61f53
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https://doi.org/10.1016/j.jhealeco.2015.12.001
|
||||
https://doi.org/10.1093/geronb/57.3.P212
|
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https://doi.org/10.1186/1479-5868-9-147
|
||||
https://doi.org/10.5271/sjweh.3290
|
||||
https://doi.org/10.1136/jech-2015-205719
|
||||
https://doi.org/10.1016/S0277-9536(96)00073-1
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||||
https://doi.org/10.1016/S0277-9536(98)00146-4
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||||
https://doi.org/10.1136/jech.57.1.46
|
||||
https://doi.org/10.1016/j.socscimed.2012.04.004
|
||||
https://doi.org/10.1079/PHN2005756
|
||||
https://doi.org/10.1136/oemed-2014-102228
|
||||
https://doi.org/10.1080/13607863.2014.955458
|
||||
https://doi.org/10.1016/S0140-6736(12)62087-X
|
||||
https://doi.org/10.1017/S0144686X11000237
|
||||
https://doi.org/10.1002/hec.1537
|
||||
https://doi.org/10.5271/sjweh.3514
|
||||
https://doi.org/10.1006/jvbe.1997.1610
|
||||
https://doi.org/10.1136/bmjopen-2011-000522
|
||||
https://doi.org/10.1093/aje/kwm053
|
||||
https://doi.org/10.1093/sleep/32.11.1459
|
||||
https://doi.org/10.1186/1471-2458-13-1180
|
||||
https://doi.org/10.1016/j.socscimed.2016.10.002
|
||||
https://doi.org/10.1038/nature08984
|
||||
https://doi.org/10.2307/146279
|
||||
https://doi.org/10.1037/0021-9010.92.2.455
|
||||
https://doi.org/10.1177/0149206309347957
|
||||
https://doi.org/10.1017/S1368980008003066
|
||||
https://doi.org/10.1016/S0140-6736(09)61570-1
|
||||
https://doi.org/10.1136/bmj.c6149
|
||||
https://doi.org/10.2307/2095627
|
||||
https://doi.org/10.1093/eurpub/ckt157
|
||||
https://doi.org/10.1371/journal.pone.0026531
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1. Adler, N.E., Boyce, T., Chesney, M.A., Cohen, S., Folkman, S., Kahn, R.L., Syme, S.L., 1994. Socioeconomic status and health: the challenge of the gradient. Am. Psychol. 49 (1), 15.
|
||||
2. Berchick, E.R., Gallo, W.T., Maralani, V., Kasl, S.V., 2012. Inequality and the association between involuntary job loss and depressive symptoms. Soc. Sci. Med. 75 (10), 1891–1894.
|
||||
3. Bongaarts, J., 2016. Pensions at a glance 2015: OECD and G20 indicators Paris: OECD publishing, 2015. 376 p. $54.00 (pbk.). Popul. Dev. Rev. 42 (2), 383–384.
|
||||
4. Chung, S., Domino, M.E., Stearns, S.C., 2009a. The effect of retirement on weight. J. Gerontol. B Psychol. Sci. Soc. Sci. 64 (5), 656–665.
|
||||
5. Chung, S., Domino, M.E., Stearns, S.C., Popkin, B.M., 2009b. Retirement and physical activity: analyses by occupation and wealth. Am. J. Prev. Med. 36 (5), 422–428.
|
||||
6. Cooke, M., 2006. Policy changes and the labour force participation of older workers: evidence from six countries. Can. J. Aging 25 (4), 387–400.
|
||||
7. Corna, L.M., 2013. A life course perspective on socioeconomic inequalities in health: a critical review of conceptual frameworks. Adv. Life Course Res. 18 (2), 150–159.
|
||||
8. de Grip, A., Dupuy, A., Jolles, J., van Boxtel, M., 2015. Retirement and cognitive development in The Netherlands: are the retired really inactive? Econ. Hum. Biol. 19, 157–169.
|
||||
9. Denton, F.T., Spencer, B.G., 2009. What is retirement? A review and assessment of alternative concepts and measures. Can. J. Aging 28 (1), 63–76.
|
||||
10. Donaldson, T., Earl, J.K., Muratore, A.M., 2010. Extending the integrated model of retirement adjustment: incorporating mastery and retirement planning. J. Vocat. Behav. 77 (2), 279–289.
|
||||
11. Drożdżak, Z., Turek, K., 2016. Retirement and perceived social inferiority strongly link with health inequalities in older age: decomposition of a concentration index of poor health based on Polish cross-sectional data. Int. J. Equity Health 15 (1), 21.
|
||||
12. Forman-Hoffman, V.L., Richardson, K.K., Yankey, J.W., Hillis, S.L., Wallace, R.B., Wolinsky, F.D., 2008. Retirement and weight changes among men and women in the health and retirement study. J. Gerontol. B Psychol. Sci. Soc. Sci. 63 (3), S146–S153.
|
||||
13. Gallo, W.T., Bradley, E.H., Dubin, J.A., Jones, R.N., Falba, T.A., Teng, H.-M., Kasl, S.V., 2006. The persistence of depressive symptoms in older workers who experience involuntary job loss: results from the health and retirement survey. J. Gerontol. B Psychol. Sci. Soc. Sci. 61 (4), S221–S228.
|
||||
14. Gallo, W.T., Brand, J.E., Teng, H.-M., Leo-Summers, L., Byers, A.L., 2009. Differential impact of involuntary job loss on physical disability among older workers: does predisposition matter? Res. Aging 31 (3), 345–360.
|
||||
15. Gueorguieva, R., Sindelar, J.L., Wu, R., Gallo, W.T., 2011. Differential changes in body mass index after retirement by occupation: hierarchical models. Int. J. Publ. Health 56 (1), 111–116.
|
||||
16. Harbers, M., 2008. Old-age Dependency Ratio, Trends and Projections in Selected Countries, 1950-2050. Retrieved from Bilthoven.
|
||||
17. Hayden, J.A., Côté, P., Bombardier, C., 2006. Evaluation of the quality of prognosis studies in systematic reviews. Ann. Intern. Med. 144 (6), 427–437.
|
||||
18. Helminger, W., Martins, C., Scuvée, B., 2016. EU in the World - 2016 Edition Luxembourg. Retrieved from.
|
||||
19. Hessel, P., 2016. Does retirement (really) lead to worse health among European men and women across all educational levels? Soc. Sci. Med. 151, 19–26.
|
||||
20. Hoogendoorn, W.E., van Poppel, M.N., Bongers, P.M., Koes, B.W., Bouter, L.M., 2000. Systematic review of psychosocial factors at work and private life as risk factors for back pain. Spine 25 (16), 2114–2125.
|
||||
21. Horner, E.M., Cullen, M.R., 2016. The impact of retirement on health: quasi-experimental methods using administrative data. BMC Health Serv. Res. 16 (1), 68.
|
||||
22. Idler, E.L., Benyamini, Y., 1997. Self-rated health and mortality: a review of twenty-seven community studies. J. Health Soc. Behav. 38 (1), 21–37.
|
||||
23. Jokela, M., Ferrie, J.E., Gimeno, D., Chandola, T., Shipley, M.J., Head, J., et al., 2010. From midlife to early old age: health trajectories associated with retirement. Epidemiology 21 (3), 284–290.
|
||||
24. Kämpfen, F., Maurer, J., 2016. Time to burn (calories)? The impact of retirement on physical activity among mature Americans. J. Health Econ. 45, 91–102.
|
||||
25. Kim, J.E., Moen, P., 2002. Retirement transitions, gender, and psychological well-being: a life-course, ecological model. J. Gerontol. B Psychol. Sci. Soc. Sci. 57 (3), P212–P222.
|
||||
26. Koeneman, M.A., Chinapaw, M.J., Verheijden, M.W., van Tilburg, T.G., Visser, M., Deeg, D.J., Hopman-Rock, M., 2012. Do major life events influence physical activity among older adults: the Longitudinal Aging Study Amsterdam. Int. J. Behav. Nutr. Phys. Activ. 9 (1), 147.
|
||||
27. Laaksonen, M., Metsä-Simola, N., Martikainen, P., Pietiläinen, O., Rahkonen, O., Gould, R., et al., 2012. Trajectories of mental health before and after old-age and disability retirement: a register-based study on purchases of psychotropic drugs. Scand. J. Work. Environ. Health 38 (5), 409–417.
|
||||
28. Latif, E., 2013. The impact of retirement on mental health in Canada. J. Ment. Health Pol. Econ. 16 (1), 35–46.
|
||||
29. Leijten, F.R., de Wind, A., van den Heuvel, S.G., Ybema, J.F., van der Beek, A.J., Robroek, S.J., Burdorf, A., 2015. The influence of chronic health problems and work-related factors on loss of paid employment among older workers. J. Epidemiol. Community Health 69 (11), 1058–1065.
|
||||
30. Mackenbach, J.P., Kunst, A.E., 1997. Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe. Soc. Sci. Med. 44 (6), 757–771.
|
||||
31. Mein, G., Higgs, P., Ferrie, J., Stansfeld, S., 1998. Paradigms of retirement: the importance of health and ageing in the Whitehall II study. Soc. Sci. Med. 47 (4), 535–545.
|
||||
32. Mein, G., Martikainen, P., Hemingway, H., Stansfeld, S., Marmot, M., 2003. Is retirement good or bad for mental and physical health functioning? Whitehall II longitudinal study of civil servants. J. Epidemiol. Community Health 57 (1), 46–49.
|
||||
33. Moon, J.R., Glymour, M.M., Subramanian, S., Avendaño, M., Kawachi, I., 2012. Transition to retirement and risk of cardiovascular disease: prospective analysis of the US health and retirement study. Soc. Sci. Med. 75 (3), 526–530.
|
||||
34. National Institutes of Health, 2014. Quality Assessment Tool for Observational Cohort and Cross-sectional Studies. Retrieved from: www.nhlbi.nih.gov/health-pro/ guidelines/in-develop/cardiovascular-risk-reduction/tools/cohort.
|
||||
35. Nooyens, A.C., Visscher, T.L., Schuit, A.J., van Rossum, C.T., Verschuren, W.M., van Mechelen, W., Seidell, J.C., 2005. Effects of retirement on lifestyle in relation to changes in weight and waist circumference in Dutch men: a prospective study. Publ. Health Nutr. 8 (8), 1266–1274.
|
||||
36. Olesen, K., Rod, N.H., Madsen, I.E., Bonde, J.P., Rugulies, R., 2015. Does retirement reduce the risk of mental disorders? A national registry-linkage study of treatment for mental disorders before and after retirement of 245 082 Danish residents. Occup. Environ. Med. 72 (5), 366–372.
|
||||
37. Platts, L.G., Webb, E., Zins, M., Goldberg, M., Netuveli, G., 2015. Mid-life occupational grade and quality of life following retirement: a 16-year follow-up of the French GAZEL study. Aging Ment. Health 19 (7), 634–646.
|
||||
38. Rechel, B., Grundy, E., Robine, J.-M., Cylus, J., Mackenbach, J.P., Knai, C., McKee, M., 2013. Ageing in the european union. Lancet 381 (9874), 1312–1322.
|
||||
39. Rijs, K.J., Cozijnsen, R., Deeg, D.J., 2012. The effect of retirement and age at retirement on self-perceived health after three years of follow-up in Dutch 55–64-year-olds. Ageing Soc. 32 (2), 281–306.
|
||||
40. Salm, M., 2009. Does job loss cause ill health? Health Econ. 18 (9), 1075–1089.
|
||||
41. Schuring, M., Robroek, S.J., Lingsma, H.F., Burdorf, A., 2015. Educational differences in trajectories of self-rated health before, during, and after entering or leaving paid employment in the European workforce. Scand. J. Work. Environ. Health 41 (5), 441–450.
|
||||
42. Shavers, V.L., 2007. Measurement of socioeconomic status in health disparities research. J. Natl. Med. Assoc. 99 (9), 1013.
|
||||
43. Shultz, K.S., Morton, K.R., Weckerle, J.R., 1998. The infulence of push and pull factors on voluntary and involuntary early retirees' retirement decision and adjustment. J. Vocat. Behav. 53 (1), 45–57.
|
||||
44. Sjösten, N., Kivimäki, M., Singh-Manoux, A., Ferrie, J.E., Goldberg, M., Zins, M., et al., 2012. Change in physical activity and weight in relation to retirement: the French GAZEL Cohort Study. BMJ open 2 (1), e000522.
|
||||
45. Slingerland, A.S., van Lenthe, F.J., Jukema, J.W., Kamphuis, C.B., Looman, C., Giskes, K., et al., 2007. Aging, retirement, and changes in physical activity: prospective cohort findings from the GLOBE study. Am. J. Epidemiol. 165 (12), 1356–1363.
|
||||
46. Vahtera, J., Westerlund, H., Hall, M., Sjösten, N., Kivimäki, M., Salo, P., et al., 2009. Efefct of retirement on sleep disturbances: the GAZEL prospective cohort study. Sleep 32 (11), 1459–1466.
|
||||
47. van der Heide, I., van Rijn, R.M., Robroek, S.J., Burdorf, A., Proper, K.I., 2013. Is retirement good for your health? A systematic review of longitudinal studies. BMC Publ. Health 13 (1), 1180.
|
||||
48. van Zon, S.K., Bültmann, U., Reijneveld, S.A., de Leon, C.F.M., 2016. Functional health decline before and after retirement: a longitudinal analysis of the Health and Retirement Study. Soc. Sci. Med. 170, 26–34.
|
||||
49. Vaupel, J.W., 2010. Biodemography of human ageing. Nature 464 (7288), 536–542.
|
||||
50. Wallace, R.B., Herzog, A.R., 1995. Overview of the health measures in the health and retirement study. J. Hum. Resour. 30, S84–S107.
|
||||
51. Wang, M., 2007. Profiling retirees in the retirement transition and adjustment process: examining the longitudinal change patterns of retirees' psychological well-being. J. Appl. Psychol. 92 (2), 455.
|
||||
52. Wang, M., Shultz, K.S., 2010. Employee retirement: a review and recommendations for future investigation. J. Manag. 36 (1), 172–206.
|
||||
53. Welch, N., McNaughton, S.A., Hunter, W., Hume, C., Crawford, D., 2009. Is the perception of time pressure a barrier to healthy eating and physical activity among women? Publ. Health Nutr. 12 (7), 888–895.
|
||||
54. Westerlund, H., Kivimäki, M., Singh-Manoux, A., Melchior, M., Ferrie, J.E., Pentti, J., et al., 2009. Self-rated health before and after retirement in France (GAZEL): a cohort study. Lancet 374 (9705), 1889–1896.
|
||||
55. Westerlund, H., Vahtera, J., Ferrie, J.E., Singh-Manoux, A., Pentti, J., Melchior, M., et al., 2010. Effect of retirement on major chronic conditions and fatigue: French GAZEL occupational cohort study. Bmj 341, c6149.
|
||||
56. Wheaton, B., 1990. Life transitions, role histories, and mental health. Am. Socio. Rev. 55 (2), 209–223.
|
||||
57. WHO, 2013. Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013–2020.
|
||||
58. WHO, 2017. Mental Health: a State of Well-being 2014. Retrieved from: http://www. who.int/features/factfiles/mental_health/en/.
|
||||
59. Zantinge, E.M., van den Berg, M., Smit, H.A., Picavet, H.S.J., 2013. Retirement and a healthy lifestyle: opportunity or pitfall? A narrative review of the literature. Eur. J. Publ. Health 24 (3), 433–439.
|
||||
60. Zins, M., Guéguen, A., Kivimaki, M., Singh-Manoux, A., Leclerc, A., Vahtera, J., et al., 2011. Effect of retirement on alcohol consumption: longitudinal evidence from the French Gazel cohort study. PLoS One 6 (10), e26531.
|
0
02-data/raw/02_snowballing-starts/Zeinali2021/40-of-60
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02-data/raw/02_snowballing-starts/Zeinali2021/40-of-60
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159
02-data/raw/02_snowballing-starts/Zeinali2021/DOIs.txt
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|
|||
1. World Health Organization (WHO). Global Strategy on Human Resources for Health: Workforce 2030. WHO; 2016:64.
|
||||
|
||||
2. Boniol M, McIsaac M, Xu L, Wuliji T, Diallo K, Campbell J. Gender Equity in the Health Workforce: Analysis of 104 Countries. WHO; 2019.
|
||||
|
||||
3. Economou JS. Gender bias in biomedical research. Surgery. 2014; 156(5):1061-1065. doi:10.1016/j.surg.2014.07.005
|
||||
https://doi.org/10.1016/j.surg.2014.07.005
|
||||
|
||||
4. Dhatt R, Theobald S, Buzuzi S, et al. The role of women's leadership and gender equity in leadership and health system strengthening. Glob Health Epidemiol Genom. 2017;2:e8. doi:10.1017/gheg.2016.22
|
||||
https://doi.org/10.1017/gheg.2016.22
|
||||
|
||||
5. Hay K, McDougal L, Percival V, et al. Disrupting gender norms in health systems: making the case for change. Lancet. 2019;393(10190):25352549. doi:10.1016/s0140-6736(19)30648-8
|
||||
https://doi.org/10.1016/S0140-6736(19)30648-8
|
||||
|
||||
6. Women in Global Health. Tweet from Women in Global Health. https:// www.womeningh.org/. Accessed May 13, 2019. Published 2019.
|
||||
|
||||
7. World Health Organization (WHO). WHO Offices in Countries, Territories and Areas. WHO; 2016.
|
||||
|
||||
8. van Daalen KR, Bajnoczki C, Chowdhury M, et al. Symptoms of a broken system: the gender gaps in COVID-19 decision-making. BMJ Glob Health. 2020;5(10):e003549. doi:10.1136/bmjgh-2020-003549
|
||||
https://doi.org/10.1136/bmjgh-2020-003549
|
||||
|
||||
9. Freizer S, Azcona G, Berevoescu I, Cookson TP. COVID-19 and Women's Leadership: From an Effective Response to Building Back Better. UN Women; 2020.
|
||||
|
||||
10. Global Health 50/50. The Global Health 50/50 Report 2018. London: Global Health 50/50; 2018. https://globalhealth5050.org/wp-content/ uploads/2018/03/GH5050-Report-2018_Final.pdf.
|
||||
|
||||
11. The Global Health 50/50 Report 2019: Equality Works. London: Global Health 50/50; 2019. https://globalhealth5050.org/wp-content/ uploads/2019/03/Equality-Works.pdf.
|
||||
|
||||
12. The Global Health 50/50 Report 2020: Power, Privilege and Priorities. London: Global Health 50/50; 2020. https://globalhealth5050.org/wpcontent/uploads/2020/03/Power-Privilege-and-Priorities-2020-GlobalHealth-5050-Report.pdf.
|
||||
|
||||
13. World Health Organization (WHO). Gender. https://www.who.int/ health-topics/gender#tab=tab_1. Accessed October 14, 2020.
|
||||
|
||||
14. George A. Human Resources for Health: A Gender Analysis. Background Paper Prepared for the Women and Gender Equity Knowledge Network and the Health Systems Knowledge Network of the WHO Commission on Social Determinants of Health Background to the Women and Gender Equity Knowledge Network. World Health Organization; 2007:57. https://www.who.int/social_determinants/ resources/human_resources_for_health_wgkn_2007.pdf.
|
||||
|
||||
15. Commission on Social Determinants of Health. Closing the Gap in a Generation: Health Equity Through Action on the Social Determinants of Health. World Health Organization; 2008.
|
||||
|
||||
16. Weber AM, Cislaghi B, Meausoone V, et al. Gender norms and health: insights from global survey data. Lancet. 2019;393(10189):2455-2468. doi:10.1016/s0140-6736(19)30765-2
|
||||
https://doi.org/10.1016/S0140-6736(19)30765-2
|
||||
|
||||
17. Larson E, George A, Morgan R, Poteat T. 10 Best resources on… intersectionality with an emphasis on low- and middle-income countries. Health Policy Plan. 2016;31(8):964-969. doi:10.1093/heapol/czw020
|
||||
https://doi.org/10.1093/heapol/czw020
|
||||
|
||||
18. Gopaldas A. Intersectionality 101. Journal of Public Policy Marketing. 2013;32(1 suppl):90-94. doi:10.1509/jppm.12.044
|
||||
https://doi.org/10.1509/jppm.12.044
|
||||
|
||||
19. Thackwell N, Swartz L, Dlamini S, Phahladira L, Muloiwa R, Chiliza B. Race trouble: experiences of Black medical specialist trainees in South Africa. BMC Int Health Hum Rights. 2016;16(1):31. doi:10.1186/ s12914-016-0108-9
|
||||
https://doi.org/10.1186/s12914-016-0108-9
|
||||
|
||||
20. van Rensburg HC. South Africa's protracted struggle for equal distribution and equitable access-still not there. Hum Resour Health. 2014;12:26. doi:10.1186/1478-4491-12-26
|
||||
https://doi.org/10.1186/1478-4491-12-26
|
||||
|
||||
21. Filby A, McConville F, Portela A. What prevents quality midwifery care? a systematic mapping of barriers in low and middle income countries from the provider perspective. PLoS One. 2016;11(5):e0153391. doi:10.1371/journal.pone.0153391
|
||||
https://doi.org/10.1371/journal.pone.0153391
|
||||
|
||||
22. Newman C. Time to address gender discrimination and inequality in the health workforce. Hum Resour Health. 2014;12:25. doi:10.1186/14784491-12-25
|
||||
https://doi.org/10.1186/1478-4491-12-25
|
||||
|
||||
23. 3rd Global Forum on Human Resources for Health. The Recife Political Declaration on Human Resources for Health: Renewed Commitments towards Universal Health Coverage. http://www.who. int/workforcealliance/knowledge/resources/kampala_declaration/en/. Accessed May 13, 2019.
|
||||
|
||||
24. Grant MJ, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Info Libr J. 2009;26(2):91108. doi:10.1111/j.1471-1842.2009.00848.x
|
||||
https://doi.org/10.1111/j.1471-1842.2009.00848.x
|
||||
|
||||
25. Muraya KW, Govender V, Mbachu C, Uguru NP, Molyneux S. 'Gender is not even a side issue…it's a non-issue': career trajectories and experiences from the perspective of male and female healthcare managers in Kenya. Health Policy Plan. 2019;34(4):249-256. doi:10.1093/heapol/czz019
|
||||
https://doi.org/10.1093/heapol/czz019
|
||||
|
||||
26. Shung-King M, Gilson L, Mbachu C, et al. Leadership experiences and practices of South African health managers: what is the influence of gender?-a qualitative, exploratory study. Int J Equity Health. 2018; 17(1):148. doi:10.1186/s12939-018-0859-0
|
||||
https://doi.org/10.1186/s12939-018-0859-0
|
||||
|
||||
27. Tominc P, Šebjan U, Širec K. Perceived gender equality in managerial positions in organizations. Organizacija. 2017;50(2):132-149. doi:10.1515/orga-2017-0009
|
||||
https://doi.org/10.1515/orga-2017-0009
|
||||
|
||||
28. Acosta DA, Lautenberger DM, Castillo-Page L, Skorton DJ. Achieving Gender Equity Is Our Responsibility: Leadership Matters. Acad Med. 2020;95(10):1468-1471. doi:10.1097/ACM.0000000000003610
|
||||
https://doi.org/10.1097/ACM.0000000000003610
|
||||
|
||||
29. Vong S, Ros B, Morgan R, Theobald S. Why are fewer women rising to the top? a life history gender analysis of Cambodia's health workforce. BMC Health Serv Res. 2019;19(1):595. doi:10.1186/s12913-0194424-3
|
||||
https://doi.org/10.1186/s12913-019-4424-3
|
||||
|
||||
30. Kodagoda T. Working long hours and its impact on family life: experiences of women professionals and managers in Sri Lanka. Indian J Gend Stud. 2018;25(1):108-126. doi:10.1177/0971521517738432
|
||||
https://doi.org/10.1177/0971521517738432
|
||||
|
||||
31. Zeinali Z, Muraya K, Govender V, Molyneux S, Morgan R. Intersectionality and global health leadership: parity is not enough. Hum Resour Health. 2019;17(1):29. doi:10.1186/s12960-019-0367-3
|
||||
https://doi.org/10.1186/s12960-019-0367-3
|
||||
|
||||
32. Alwazzan L, Rees CE. Women in medical education: views and experiences from the Kingdom of Saudi Arabia. Med Educ. 2016; 50(8):852-865. doi:10.1111/medu.12988
|
||||
https://doi.org/10.1111/medu.12988
|
||||
|
||||
33. Ioannidou E, Letra A, Shaddox LM, et al. Empowering Women Researchers in the New Century: IADR's Strategic Direction. Adv Dent Res. 2019;30(3):69-77. doi:10.1177/0022034519877385
|
||||
https://doi.org/10.1177/0022034519877385
|
||||
|
||||
34. Tlaiss HA. Women in healthcare: barriers and enablers from a developing country perspective. Int J Health Policy Manag. 2013; 1(1):23-33. doi:10.15171/ijhpm.2013.05
|
||||
https://doi.org/10.15171/ijhpm.2013.05
|
||||
|
||||
35. Williams CL. The Glass Escalator, Revisited: Gender Inequality in Neoliberal Times, SWS Feminist Lecturer. Gender & Society. 2013; 27(5):609-629. doi:10.1177/0891243213490232
|
||||
https://doi.org/10.1177/0891243213490232
|
||||
|
||||
36. George A. Nurses, community health workers, and home carers: gendered human resources compensating for skewed health systems. Global Public Health. 2008;3(Sup 1):75-89. doi:10.1080/17441690801892240
|
||||
https://doi.org/10.1080/17441690801892240
|
||||
|
||||
37. Chua V, Mathews M, Loh YC. Social capital in Singapore: gender differences, ethnic hierarchies, and their intersection. Soc Networks. 2016;47:138-150. doi:10.1016/j.socnet.2016.06.004
|
||||
https://doi.org/10.1016/j.socnet.2016.06.004
|
||||
|
||||
38. Percival V, Dusabe-Richards E, Wurie H, Namakula J, Ssali S, Theobald S. Are health systems interventions gender blind? examining health system reconstruction in conflict affected states. Global Health. 2018;14(1):90. doi:10.1186/s12992-018-0401-6
|
||||
https://doi.org/10.1186/s12992-018-0401-6
|
||||
|
||||
39. Morgan R, Hawkins K, Lundine J. The foundation and consequences of gender bias in grant peer review processes. CMAJ. 2018; 190(16):E487-E488. doi:10.1503/cmaj.180188
|
||||
https://doi.org/10.1503/cmaj.180188
|
||||
|
||||
40. Gupta GR, Oomman N, Grown C, et al. Gender equality and gender norms: framing the opportunities for health. Lancet. 2019;393(10190):2550-2562. doi:10.1016/s0140-6736(19)30651-8
|
||||
https://doi.org/10.1016/S0140-6736(19)30651-8
|
||||
|
||||
41. South Africa Demographics Profile. IndexMundi website. https://www. indexmundi.com/south_africa/demographics_profile.html. Accessed May 13, 2019. Published 2018.
|
||||
|
||||
42. World Health Organization (WHO). Working for Health and Growth: Investing in the Health Workforce. Report of the High-Level Commission on Health Employment and Economic Growth. WHO; 2016.
|
||||
|
||||
43. Horton R. Advancing women in science, medicine and global health. Lancet. 2019;393(10171):493-610.
|
||||
https://doi.org/10.1016/S0140-6736(19)30239-9
|
||||
|
||||
44. Gender Equality, Norms, and Health. The Lancet. https://www. thelancet.com/series/gender-equality-norms-health. Accessed January 30, 2020.
|
||||
|
||||
45. World Health Organization (WHO). Gender Equity Hub. https://www. who.int/hrh/network/GHWN-GEH-ToR.pdf?ua=1. Accessed October 16, 2020.
|
||||
|
||||
46. Wittenberg-Cox A. Women Leaders' Competence on COVID: The Proof. Forbes. September 8, 2020. https://www.forbes.com/sites/ avivahwittenbergcox/2020/09/08/women-leaders-competence-oncovid-the-proof/. Accessed October 16, 2020.
|
||||
|
||||
47. United Cities and Local Governments (UCLG). Women's Leadership for the Post COVID-19 Era: A Call to Action from Local and Regional Governments Leaders. https://www.uclg.org/sites/default/files/ uclgwomen_calltoaction_en.pdf. Accessed October 16, 2020.
|
||||
|
||||
48. George AS, Amin A, GarcÍa-Moreno C, Sen G. Gender equality and health: laying the foundations for change. Lancet. 2019;393(10189):2369-2371. doi:10.1016/s0140-6736(19)30987-0
|
||||
https://doi.org/10.1016/S0140-6736(19)30987-0
|
||||
|
||||
49. World Health Organization (WHO). Gender Transformative Approaches in the Health and Social Workforce. http://www.who.int/hrh/news/2018/ gender-transform-approaches-in-health-social_workforce-webinar/ en/. Accessed October 16, 2020. Published 2018.
|
||||
|
||||
50. Downs JA, Reif LK, Hokororo A, Fitzgerald DW. Increasing women in leadership in global health. Acad Med. 2014;89(8):1103-1107. doi:10.1097/acm.0000000000000369
|
||||
https://doi.org/10.1097/ACM.0000000000000369
|
||||
|
||||
51. Gronn P. Distributed leadership as a unit of analysis. Leadersh Q. 2002; 13(4):423-451. doi:10.1016/s1048-9843(02)00120-0
|
||||
https://doi.org/10.1016/S1048-9843(02)00120-0
|
||||
|
||||
52. Gilson L. Trust and the development of health care as a social institution. Soc Sci Med. 2003;56(7):1453-1468. doi:10.1016/s02779536(02)00142-9
|
||||
https://doi.org/10.1016/S0277-9536(02)00142-9
|
||||
|
||||
53. Javadi D, Vega J, Etienne C, Wandira S, Doyle Y, Nishtar S. Women who lead: successes and challenges of five health leaders. Health Syst Reform. 2016;2(3):229-240. doi:10.1080/23288604.2016.1225471
|
||||
https://doi.org/10.1080/23288604.2016.1225471
|
||||
|
||||
54. Zeinali Z. Women in health systems leadership-demystifying the labyrinth. In: Morgan R, Hawkins K, Dhatt R, Manzoor M, eds. Women and Global Health Leadership - Power and Transformation. Springer; 2021.
|
||||
https://doi.org/10.1007/978-3-030-84498-1_18
|
||||
|
||||
55. Langer A, Meleis A, Knaul FM, et al. Women and health: the key for sustainable development. Lancet. 2015;386(9999):1165-1210. doi:10.1016/s0140-6736(15)60497-4
|
||||
https://doi.org/10.1016/S0140-6736(15)60497-4
|
||||
|
||||
56. GH50/50 How-To: Develop Family-Friendly Workplace Policies. Global Health 50/50 website. https://globalhealth5050.org/updates/document/ gh5050-how-to-develop-family-friendly-workplace-policies/. Accessed October 17, 2020.
|
||||
|
||||
57. Hankivsky O, Jordan-Zachery JS. The Palgrave Handbook of Intersectionality in Public Policy. Cham: Springer International Publishing; 2019. doi:10.1007/978-3-319-98473-5
|
||||
https://doi.org/10.1007/978-3-319-98473-5
|
||||
|
||||
58. Hancock AM. Empirical intersectionality: a tale of two approaches. In: Hankivsky O, Jordan-Zachery JS, eds. The Palgrave Handbook of Intersectionality in Public Policy. Cham: Springer International Publishing; 2019:95-132. doi:10.1007/978-3-319-98473-5_5
|
||||
https://doi.org/10.1007/978-3-319-98473-5_5
|
||||
|
||||
59. Hankivsky O, Grace D, Hunting G, et al. An intersectionality-based policy analysis framework: critical reflections on a methodology for advancing equity. In: Hankivsky O, Jordan-Zachery JS, eds. The Palgrave Handbook of Intersectionality in Public Policy. Cham: Springer International Publishing; 2019:133-166. doi:10.1007/978-3319-98473-5_6
|
||||
https://doi.org/10.1007/978-3-319-98473-5_6
|
||||
|
||||
60. Hankivsky O, Jordan-Zachery JS. Introduction: bringing intersectionality to public policy. In: Hankivsky O, Jordan-Zachery JS, eds. The Palgrave Handbook of Intersectionality in Public Policy. Cham: Springer International Publishing; 2019:1-28. doi:10.1007/9783-319-98473-5_1
|
||||
https://doi.org/10.1007/978-3-319-98473-5_1
|
40
02-data/raw/02_snowballing-starts/Zeinali2021/DOIs_only.txt
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40
02-data/raw/02_snowballing-starts/Zeinali2021/DOIs_only.txt
Normal file
|
@ -0,0 +1,40 @@
|
|||
https://doi.org/10.1016/j.surg.2014.07.005
|
||||
https://doi.org/10.1017/gheg.2016.22
|
||||
https://doi.org/10.1016/S0140-6736(19)30648-8
|
||||
https://doi.org/10.1136/bmjgh-2020-003549
|
||||
https://doi.org/10.1016/S0140-6736(19)30765-2
|
||||
https://doi.org/10.1093/heapol/czw020
|
||||
https://doi.org/10.1509/jppm.12.044
|
||||
https://doi.org/10.1186/s12914-016-0108-9
|
||||
https://doi.org/10.1186/1478-4491-12-26
|
||||
https://doi.org/10.1371/journal.pone.0153391
|
||||
https://doi.org/10.1186/1478-4491-12-25
|
||||
https://doi.org/10.1111/j.1471-1842.2009.00848.x
|
||||
https://doi.org/10.1093/heapol/czz019
|
||||
https://doi.org/10.1186/s12939-018-0859-0
|
||||
https://doi.org/10.1515/orga-2017-0009
|
||||
https://doi.org/10.1097/ACM.0000000000003610
|
||||
https://doi.org/10.1186/s12913-019-4424-3
|
||||
https://doi.org/10.1177/0971521517738432
|
||||
https://doi.org/10.1186/s12960-019-0367-3
|
||||
https://doi.org/10.1111/medu.12988
|
||||
https://doi.org/10.1177/0022034519877385
|
||||
https://doi.org/10.15171/ijhpm.2013.05
|
||||
https://doi.org/10.1177/0891243213490232
|
||||
https://doi.org/10.1080/17441690801892240
|
||||
https://doi.org/10.1016/j.socnet.2016.06.004
|
||||
https://doi.org/10.1186/s12992-018-0401-6
|
||||
https://doi.org/10.1503/cmaj.180188
|
||||
https://doi.org/10.1016/S0140-6736(19)30651-8
|
||||
https://doi.org/10.1016/S0140-6736(19)30239-9
|
||||
https://doi.org/10.1016/S0140-6736(19)30987-0
|
||||
https://doi.org/10.1097/ACM.0000000000000369
|
||||
https://doi.org/10.1016/S1048-9843(02)00120-0
|
||||
https://doi.org/10.1016/S0277-9536(02)00142-9
|
||||
https://doi.org/10.1080/23288604.2016.1225471
|
||||
https://doi.org/10.1007/978-3-030-84498-1_18
|
||||
https://doi.org/10.1016/S0140-6736(15)60497-4
|
||||
https://doi.org/10.1007/978-3-319-98473-5
|
||||
https://doi.org/10.1007/978-3-319-98473-5_5
|
||||
https://doi.org/10.1007/978-3-319-98473-5_6
|
||||
https://doi.org/10.1007/978-3-319-98473-5_1
|
60
02-data/raw/02_snowballing-starts/Zeinali2021/references.txt
Normal file
60
02-data/raw/02_snowballing-starts/Zeinali2021/references.txt
Normal file
|
@ -0,0 +1,60 @@
|
|||
1. World Health Organization (WHO). Global Strategy on Human Resources for Health: Workforce 2030. WHO; 2016:64.
|
||||
2. Boniol M, McIsaac M, Xu L, Wuliji T, Diallo K, Campbell J. Gender Equity in the Health Workforce: Analysis of 104 Countries. WHO; 2019.
|
||||
3. Economou JS. Gender bias in biomedical research. Surgery. 2014; 156(5):1061-1065. doi:10.1016/j.surg.2014.07.005
|
||||
4. Dhatt R, Theobald S, Buzuzi S, et al. The role of women’s leadership and gender equity in leadership and health system strengthening. Glob Health Epidemiol Genom. 2017;2:e8. doi:10.1017/gheg.2016.22
|
||||
5. Hay K, McDougal L, Percival V, et al. Disrupting gender norms in health systems: making the case for change. Lancet. 2019;393(10190):25352549. doi:10.1016/s0140-6736(19)30648-8
|
||||
6. Women in Global Health. Tweet from Women in Global Health. https:// www.womeningh.org/. Accessed May 13, 2019. Published 2019.
|
||||
7. World Health Organization (WHO). WHO Offices in Countries, Territories and Areas. WHO; 2016.
|
||||
8. van Daalen KR, Bajnoczki C, Chowdhury M, et al. Symptoms of a broken system: the gender gaps in COVID-19 decision-making. BMJ Glob Health. 2020;5(10):e003549. doi:10.1136/bmjgh-2020-003549
|
||||
9. Freizer S, Azcona G, Berevoescu I, Cookson TP. COVID-19 and Women’s Leadership: From an Effective Response to Building Back Better. UN Women; 2020.
|
||||
10. Global Health 50/50. The Global Health 50/50 Report 2018. London: Global Health 50/50; 2018. https://globalhealth5050.org/wp-content/ uploads/2018/03/GH5050-Report-2018_Final.pdf.
|
||||
11. The Global Health 50/50 Report 2019: Equality Works. London: Global Health 50/50; 2019. https://globalhealth5050.org/wp-content/ uploads/2019/03/Equality-Works.pdf.
|
||||
12. The Global Health 50/50 Report 2020: Power, Privilege and Priorities. London: Global Health 50/50; 2020. https://globalhealth5050.org/wpcontent/uploads/2020/03/Power-Privilege-and-Priorities-2020-GlobalHealth-5050-Report.pdf.
|
||||
13. World Health Organization (WHO). Gender. https://www.who.int/ health-topics/gender#tab=tab_1. Accessed October 14, 2020.
|
||||
14. George A. Human Resources for Health: A Gender Analysis. Background Paper Prepared for the Women and Gender Equity Knowledge Network and the Health Systems Knowledge Network of the WHO Commission on Social Determinants of Health Background to the Women and Gender Equity Knowledge Network. World Health Organization; 2007:57. https://www.who.int/social_determinants/ resources/human_resources_for_health_wgkn_2007.pdf.
|
||||
15. Commission on Social Determinants of Health. Closing the Gap in a Generation: Health Equity Through Action on the Social Determinants of Health. World Health Organization; 2008.
|
||||
16. Weber AM, Cislaghi B, Meausoone V, et al. Gender norms and health: insights from global survey data. Lancet. 2019;393(10189):2455-2468. doi:10.1016/s0140-6736(19)30765-2
|
||||
17. Larson E, George A, Morgan R, Poteat T. 10 Best resources on… intersectionality with an emphasis on low- and middle-income countries. Health Policy Plan. 2016;31(8):964-969. doi:10.1093/heapol/czw020
|
||||
18. Gopaldas A. Intersectionality 101. Journal of Public Policy Marketing. 2013;32(1 suppl):90-94. doi:10.1509/jppm.12.044
|
||||
19. Thackwell N, Swartz L, Dlamini S, Phahladira L, Muloiwa R, Chiliza B. Race trouble: experiences of Black medical specialist trainees in South Africa. BMC Int Health Hum Rights. 2016;16(1):31. doi:10.1186/ s12914-016-0108-9
|
||||
20. van Rensburg HC. South Africa’s protracted struggle for equal distribution and equitable access–still not there. Hum Resour Health. 2014;12:26. doi:10.1186/1478-4491-12-26
|
||||
21. Filby A, McConville F, Portela A. What prevents quality midwifery care? a systematic mapping of barriers in low and middle income countries from the provider perspective. PLoS One. 2016;11(5):e0153391. doi:10.1371/journal.pone.0153391
|
||||
22. Newman C. Time to address gender discrimination and inequality in the health workforce. Hum Resour Health. 2014;12:25. doi:10.1186/14784491-12-25
|
||||
23. 3rd Global Forum on Human Resources for Health. The Recife Political Declaration on Human Resources for Health: Renewed Commitments towards Universal Health Coverage. http://www.who. int/workforcealliance/knowledge/resources/kampala_declaration/en/. Accessed May 13, 2019.
|
||||
24. Grant MJ, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Info Libr J. 2009;26(2):91108. doi:10.1111/j.1471-1842.2009.00848.x
|
||||
25. Muraya KW, Govender V, Mbachu C, Uguru NP, Molyneux S. ‘Gender is not even a side issue…it’s a non-issue’: career trajectories and experiences from the perspective of male and female healthcare managers in Kenya. Health Policy Plan. 2019;34(4):249-256. doi:10.1093/heapol/czz019
|
||||
26. Shung-King M, Gilson L, Mbachu C, et al. Leadership experiences and practices of South African health managers: what is the influence of gender?-a qualitative, exploratory study. Int J Equity Health. 2018; 17(1):148. doi:10.1186/s12939-018-0859-0
|
||||
27. Tominc P, Šebjan U, Širec K. Perceived gender equality in managerial positions in organizations. Organizacija. 2017;50(2):132-149. doi:10.1515/orga-2017-0009
|
||||
28. Acosta DA, Lautenberger DM, Castillo-Page L, Skorton DJ. Achieving Gender Equity Is Our Responsibility: Leadership Matters. Acad Med. 2020;95(10):1468-1471. doi:10.1097/ACM.0000000000003610
|
||||
29. Vong S, Ros B, Morgan R, Theobald S. Why are fewer women rising to the top? a life history gender analysis of Cambodia’s health workforce. BMC Health Serv Res. 2019;19(1):595. doi:10.1186/s12913-0194424-3
|
||||
30. Kodagoda T. Working long hours and its impact on family life: experiences of women professionals and managers in Sri Lanka. Indian J Gend Stud. 2018;25(1):108-126. doi:10.1177/0971521517738432
|
||||
31. Zeinali Z, Muraya K, Govender V, Molyneux S, Morgan R. Intersectionality and global health leadership: parity is not enough. Hum Resour Health. 2019;17(1):29. doi:10.1186/s12960-019-0367-3
|
||||
32. Alwazzan L, Rees CE. Women in medical education: views and experiences from the Kingdom of Saudi Arabia. Med Educ. 2016; 50(8):852-865. doi:10.1111/medu.12988
|
||||
33. Ioannidou E, Letra A, Shaddox LM, et al. Empowering Women Researchers in the New Century: IADR’s Strategic Direction. Adv Dent Res. 2019;30(3):69-77. doi:10.1177/0022034519877385
|
||||
34. Tlaiss HA. Women in healthcare: barriers and enablers from a developing country perspective. Int J Health Policy Manag. 2013; 1(1):23-33. doi:10.15171/ijhpm.2013.05
|
||||
35. Williams CL. The Glass Escalator, Revisited: Gender Inequality in Neoliberal Times, SWS Feminist Lecturer. Gender & Society. 2013; 27(5):609-629. doi:10.1177/0891243213490232
|
||||
36. George A. Nurses, community health workers, and home carers: gendered human resources compensating for skewed health systems. Global Public Health. 2008;3(Sup 1):75-89. doi:10.1080/17441690801892240
|
||||
37. Chua V, Mathews M, Loh YC. Social capital in Singapore: gender differences, ethnic hierarchies, and their intersection. Soc Networks. 2016;47:138-150. doi:10.1016/j.socnet.2016.06.004
|
||||
38. Percival V, Dusabe-Richards E, Wurie H, Namakula J, Ssali S, Theobald S. Are health systems interventions gender blind? examining health system reconstruction in conflict affected states. Global Health. 2018;14(1):90. doi:10.1186/s12992-018-0401-6
|
||||
39. Morgan R, Hawkins K, Lundine J. The foundation and consequences of gender bias in grant peer review processes. CMAJ. 2018; 190(16):E487-E488. doi:10.1503/cmaj.180188
|
||||
40. Gupta GR, Oomman N, Grown C, et al. Gender equality and gender norms: framing the opportunities for health. Lancet. 2019;393(10190):2550-2562. doi:10.1016/s0140-6736(19)30651-8
|
||||
41. South Africa Demographics Profile. IndexMundi website. https://www. indexmundi.com/south_africa/demographics_profile.html. Accessed May 13, 2019. Published 2018.
|
||||
42. World Health Organization (WHO). Working for Health and Growth: Investing in the Health Workforce. Report of the High-Level Commission on Health Employment and Economic Growth. WHO; 2016.
|
||||
43. Horton R. Advancing women in science, medicine and global health. Lancet. 2019;393(10171):493-610.
|
||||
44. Gender Equality, Norms, and Health. The Lancet. https://www. thelancet.com/series/gender-equality-norms-health. Accessed January 30, 2020.
|
||||
45. World Health Organization (WHO). Gender Equity Hub. https://www. who.int/hrh/network/GHWN-GEH-ToR.pdf?ua=1. Accessed October 16, 2020.
|
||||
46. Wittenberg-Cox A. Women Leaders’ Competence on COVID: The Proof. Forbes. September 8, 2020. https://www.forbes.com/sites/ avivahwittenbergcox/2020/09/08/women-leaders-competence-oncovid-the-proof/. Accessed October 16, 2020.
|
||||
47. United Cities and Local Governments (UCLG). Women’s Leadership for the Post COVID-19 Era: A Call to Action from Local and Regional Governments Leaders. https://www.uclg.org/sites/default/files/ uclgwomen_calltoaction_en.pdf. Accessed October 16, 2020.
|
||||
48. George AS, Amin A, GarcÍa-Moreno C, Sen G. Gender equality and health: laying the foundations for change. Lancet. 2019;393(10189):2369-2371. doi:10.1016/s0140-6736(19)30987-0
|
||||
49. World Health Organization (WHO). Gender Transformative Approaches in the Health and Social Workforce. http://www.who.int/hrh/news/2018/ gender-transform-approaches-in-health-social_workforce-webinar/ en/. Accessed October 16, 2020. Published 2018.
|
||||
50. Downs JA, Reif LK, Hokororo A, Fitzgerald DW. Increasing women in leadership in global health. Acad Med. 2014;89(8):1103-1107. doi:10.1097/acm.0000000000000369
|
||||
51. Gronn P. Distributed leadership as a unit of analysis. Leadersh Q. 2002; 13(4):423-451. doi:10.1016/s1048-9843(02)00120-0
|
||||
52. Gilson L. Trust and the development of health care as a social institution. Soc Sci Med. 2003;56(7):1453-1468. doi:10.1016/s02779536(02)00142-9
|
||||
53. Javadi D, Vega J, Etienne C, Wandira S, Doyle Y, Nishtar S. Women who lead: successes and challenges of five health leaders. Health Syst Reform. 2016;2(3):229-240. doi:10.1080/23288604.2016.1225471
|
||||
54. Zeinali Z. Women in health systems leadership–demystifying the labyrinth. In: Morgan R, Hawkins K, Dhatt R, Manzoor M, eds. Women and Global Health Leadership - Power and Transformation. Springer; 2021.
|
||||
55. Langer A, Meleis A, Knaul FM, et al. Women and health: the key for sustainable development. Lancet. 2015;386(9999):1165-1210. doi:10.1016/s0140-6736(15)60497-4
|
||||
56. GH50/50 How-To: Develop Family-Friendly Workplace Policies. Global Health 50/50 website. https://globalhealth5050.org/updates/document/ gh5050-how-to-develop-family-friendly-workplace-policies/. Accessed October 17, 2020.
|
||||
57. Hankivsky O, Jordan-Zachery JS. The Palgrave Handbook of Intersectionality in Public Policy. Cham: Springer International Publishing; 2019. doi:10.1007/978-3-319-98473-5
|
||||
58. Hancock AM. Empirical intersectionality: a tale of two approaches. In: Hankivsky O, Jordan-Zachery JS, eds. The Palgrave Handbook of Intersectionality in Public Policy. Cham: Springer International Publishing; 2019:95-132. doi:10.1007/978-3-319-98473-5_5
|
||||
59. Hankivsky O, Grace D, Hunting G, et al. An intersectionality-based policy analysis framework: critical reflections on a methodology for advancing equity. In: Hankivsky O, Jordan-Zachery JS, eds. The Palgrave Handbook of Intersectionality in Public Policy. Cham: Springer International Publishing; 2019:133-166. doi:10.1007/978-3319-98473-5_6
|
||||
60. Hankivsky O, Jordan-Zachery JS. Introduction: bringing intersectionality to public policy. In: Hankivsky O, Jordan-Zachery JS, eds. The Palgrave Handbook of Intersectionality in Public Policy. Cham: Springer International Publishing; 2019:1-28. doi:10.1007/9783-319-98473-5_1
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