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z-&&rOm%#00Ij`-9cM>Pojkm?EQD5Seot7!KpQpLnY+6Tm(Mg*L3<-m;_uaWEo229^ z*(nMBbJ|Dm>t14*F>88Sc<9=YP{;M6y1GSL5w!)HXKN6FFTig6!)I z?iQsR#5upX|1gu%PEXfc&QT`+iqR9Ij|^KuSTEgz&&G^|GVnhi@w*zJ{0`gmOyF^2>T%|rM(-8tT)VQ!S*7b$#vrlDqF+#~+tcI5O-P)%_*3w1skQs_ps~mW^lzL9)l9;Zcbw z`mSU;j}*squIKOccWc>)Ry#adif@;yx_jRH_N#1n+9&qjbYJxh5BC{ud}2GOD*5L0 zC7oeHjY$TJFQM&u{LF-~quBU7>6>=>rJC9bS}kGX4Z=|Ww>D&Yb-1GG>$CY9d8Jv` ziCvC((AlPNkI*Sz7hnEN@Fq6&=1IeR+oBV3RZ5CE0qM|-BA)uz;Rjzy?+G~Q4h+r4 zeQ146@`UF6sn5rvPCRI2zp3?2EAnK_iKlntPto+N8cPqIQs8ivw+zA)-w{+kpXpMn zym8(Sui|Oe>o1~T#2N{9ZNGRN)lQ08DjN5ElJMB6{kGv~ip}L}lJ(nnImZ_XGOx&d zo^tr{|p1!}B-r%^R#hIjSKnefG5VK;^&YxiGHWOknTb+pi8r*?shQ$_zv+5zhEl2rxD zL3aKX(YIs=x2_x7X;Qv)=z~El%R^N3Jf(G^wSl%Z3Qp#^Nw;4F+m6y*4Ka%_BJXEb ze3eWQdHItY@sNG*O0n4LH4b9u0xJHSkIaj-Gg9p14f5NBZU>XqJPdV)U4`%bS~zcw=hyOI zSe^cnO6z)I*5%1f2YvQBeuG;>Ute`>`+4t>=(gg%%jOupI2+iao&0wG;kT{ArG{y- zqt^ojMCRR+j;#Dh!tQNm>OXrdK>fLv0kwe*ygy8F5P zrKz!@oicIU+1|XOJi0WlATa?eHi4AydCG6+9nF&D(-Y{+e!Sn3!qP~`w%6Zu_oCM< zcA7F(FT?$7q|s|Am5(^K$af0zfXLwpdx{ZD0ij#eTt75?uXE;10mKTOU+ zxMAn!ZJ~S3!_LbLnTv~R|6JgCXo{rvsHb8LHE z_#%feJ3YsK$=Ck6a{tJmIcGqMS6t!c|Lb*|gU?i}!Y`)CKvUSiu7$seNFVwmW&OvC z|9z4Fd?Oxv-qT_5@tf)Yh_n7$tnJ*NE7`ldd%L-N|B?Ux{e#Gn(|0$(r_Y6tk92r{ zJ-pTayxz{u_W$;BkD{vsdvJLmTn;_O|MoD^_}k0ddHxc-{_)}jfBx1s_Ys6>0^#pVoRZ5~72v~Q(DR>5XzL#N^uwxJ^#5x=8JzXA^cxU$Un45^$*5i(DR>5IJ)Eh z>w}2=*AiE52R9{M!C=typG#1$|9c71|5}3l+FKr~R2TsX&wnm4VTbpxcOmv)OAz{m zV!7*JFzETuC0KX=y@dFGEfFdzwjmGzHx-`$T%t<@|6lJy;=h)7FjjNvm;*>a;ECp0 z{`KJM`}Y!p0{^wfi&eqfbFi<_^Pg+DoF@3!+Yl7|uQh(3tNGXah_L*RHU73i|1xvG zi^>05W3=$kHGY?t|9;GWm)rie#MhEPm-xH*_V>$wm#O`A`Ci4Jm;Xbw_WSj}i*o+D zUZeVdFaLieI=^51J9+ol#Wrn!Ui=%C_xlRJlTm-I@T&dK75+g@{eJyFNr1nu#$fJr z5@7yC3H*NfKf|!UUvAv6-9months) significant positive impact on returning to work in same job under same conditions; greatest response from disadvantaged mothers,supplants previous employer-funded leave which often did not exist for disadvantaged mothers; reduction in opportunity cost of delaying rtw,1.0,2.0,5.0,3.5 +Blumenberg2014,"Blumenberg, E., & Pierce, G.",2014,A Driving Factor in Mobility? Transportation’s Role in Connecting Subsidized Housing and Employment Outcomes in the Moving to Opportunity (MTO) Program,Journal of the American Planning Association,https://doi.org/10.1080/01944363.2014.935267,article,development,United States,1994-2001,84.0,implicit,poor women,baseline and follow-up survey;,experimental,RCT; multinomial regression model,3199.0,household,"subnational, metropolitan",1.0,,"low levels of explanatory power for individual model outcomes, esp for disadvantaged population groups; possible endogeneity bias through unobserved factors (e.g. human capital); binary distinction automobile access, not graduated",98% of sample is female,subsidy (housing mobility),0,1,0,spatial; gender; ethnicity,1.0,1.0,employment rate,"no relationship between subsidy and employment outcomes; increased employment probability for people living in high transit areas, but no increased job gain for moving to high transit area itself",high transit area employment paradox may be due to inherent difficulty of connecting household to opportunity in dispersed labor market just via access to transit,0.0,0.0,3.0,5.0 +Blumenberg2014,"Blumenberg, E., & Pierce, G.",2014,A Driving Factor in Mobility? Transportation’s Role in Connecting Subsidized Housing and Employment Outcomes in the Moving to Opportunity (MTO) Program,Journal of the American Planning Association,https://doi.org/10.1080/01944363.2014.935267,article,development,United States,1994-2001,84.0,implicit,poor women,baseline and follow-up survey;,experimental,RCT; multinomial regression model,3199.0,household,"subnational, metropolitan",1.0,,"low levels of explanatory power for individual model outcomes, esp for disadvantaged population groups; possible endogeneity bias through unobserved factors (e.g. human capital); binary distinction automobile access, not graduated",98% of sample is female,infrastructure (transport),0,1,0,spatial; gender; ethnicity,1.0,1.0,employment rate,increased employment probability for car ownership,better transport mobility to access wider job opportunity network,1.0,2.0,3.0,5.0 +Bartha2020,"Bartha, A., & Zentai, V.",2020,Long-term care and gender equality: Fuzzy-set ideal types of care regimes in europe,"Social inclusion (vol. 8, issue 4, pp. 92–102)",https://doi.org/10.17645/si.v8i4.2956,article,sociology,global,2016-2019,1.0,implicit,women,European Commission; Eurofound; Mutual Information System on Social Protection; European Institute for Gender Equality,observational,fuzzy-set ideal type ranking,28.0,country,regional,0.0,familialization in LTC,scarce comparable data; ideal-types follow prior assumptions potentially restricting view,"relying on migrant work is often poorly regulated, low paid and in turn may have negative consequences on gender equality in migrant communities/home countries","social security (pensions, care facilities); regulation (LTC-reforms, fiscal policies)",1,1,0,gender; age,1.0,1.0,full-time equivalent employment rate gap between men and women,"few countries fit an ideal-type household of male bread-winner (traditional), unsupported/supported double-earner; supported double-earner type mostly prevalent in Western Europe/Scandinavian countries, Southern/Eastern Europe predominantly unsupported double-earner; women will take on more unpaid care work in that model",in-home care facilitated by rising migrant cash-for-care work sectors may increase FLFP,-1.0,0.0,4.0,0.0 +Bailey2012,"Bailey, M. J., Hershbein, B., & Miller, A. R.",2012,The Opt-In Revolution? Contraception and the Gender Gap in Wages,Economic journal: applied economics,https://doi.org/10.1257/app.4.3.225,article,economics,United States,1968-1989,,implicit,young women,longitudinal administrative National Longitudinal Survey of Young Women (NLS-YW),quasi-experimental,linear regression models; OLS; Oaxaca-Blinder decomposition with recentered influence function (RIF) procedure,5159.0,individual,national,0.0,,dataset does not capture access to contraception beyond age 20 and social multiplier effects (e.g. changed hiring/promotion patterns),,technological change (contraception),0,1,0,gender; income,1.0,1.0,hourly wage distribution (gendered),"early legal access to contraceptives ('the pill') influenced decrease in gender gap by 10% in 1980s, 30% in 1990s; estimates 1/3rd of total female wage gains induced by access 1980s-1990s","increased labor market experience (due to not exiting early); greater educational attainment, occupational upgrading; spurred personal investment in human capital and careers",-1.0,2.0,4.0,2.0 +Adams2015,"Adams, S., & Atsu, F.",2015,Assessing the distributional effects of regulation in developing countries,Journal of Policy Modeling,https://doi.org/10.1016/j.jpolmod.2015.08.003,article,economics,global,1970-2012,,implicit,developing countries,panel data,quasi-experimental,"system general method of moments, fixed effects, OLS; using Gini coefficient",72.0,country,regional,0.0,,macro-level observations subsumed under region-level scale only,"LM regulations defined as hiring/firing, minimum wage, severance pay; business reg. bureaucracy costs, business starting costs, licensing and compliance costs; credit market oversight of banks, private sector credit, interest rate controls",trade liberalization (FDI),1,0,0,income,0.0,1.0,Gini coeff,FDI unlikely to generate equity-oriented welfare effects; trade openness not significantly related,wrong targeting incentive structure for FDI,1.0,2.0,4.0,4.0 +Adams2015,"Adams, S., & Atsu, F.",2015,Assessing the distributional effects of regulation in developing countries,Journal of Policy Modeling,https://doi.org/10.1016/j.jpolmod.2015.08.003,article,economics,global,1970-2012,,implicit,developing countries,panel data,quasi-experimental,"system general method of moments, fixed effects, OLS; using Gini coefficient",72.0,country,regional,0.0,,macro-level observations subsumed under region-level scale only,"LM regulations defined as hiring/firing, minimum wage, severance pay; business reg. bureaucracy costs, business starting costs, licensing and compliance costs; credit market oversight of banks, private sector credit, interest rate controls",regulation (labour),1,0,0,income,0.0,1.0,Gini coeff,labour regulations and business regulations negatively related to equitable income distribution while credit market regulation has no effect in income distribution; FDI unlikely to generate equity-oriented welfare effects; trade openness not significantly related,regulatory policies often lack institutional capability to optimize for benefits; policies require specific targeting of inequality reduction,1.0,2.0,4.0,4.0 +Adams2015,"Adams, S., & Atsu, F.",2015,Assessing the distributional effects of regulation in developing countries,Journal of Policy Modeling,https://doi.org/10.1016/j.jpolmod.2015.08.003,article,economics,global,1970-2012,,implicit,developing countries,panel data,quasi-experimental,"system general method of moments, fixed effects, OLS; using Gini coefficient",72.0,country,regional,0.0,,macro-level observations subsumed under region-level scale only,"LM regulations defined as hiring/firing, minimum wage, severance pay; business reg. bureaucracy costs, business starting costs, licensing and compliance costs; credit market oversight of banks, private sector credit, interest rate controls",education (school enrolment),1,0,0,income,0.0,1.0,Gini coeff,school enrolment positively related to equitable income distribution,capacity-building for public administration practitioners; more context-adapted policies generated,-1.0,2.0,4.0,4.0 +Alinaghi2020,"Alinaghi, N., Creedy, J., & Gemmell, N.",2020,The redistributive effects of a minimum wage increase in New Zealand: A microsimulation analysis,Australian Economic Review,https://doi.org/10.1111/1467-8462.12381,article,economics,New Zealand,2012-2013,,implicit,,New Zealand Household Economic Survey (HES),simulation,microsimulation model; uses Atkinson index,3500.0,individual,national,0.0,,"large sample weights may bias specific groups, e.g. sole parents",,minimum wage,1,1,0,income,0.0,1.0,Atkinson index,"small impact on inequality of income signals bad programme targeting; significant reduction in poverty measures for sole parents already in employment only, but insignificant for sole parents overall",many low-wage earners are secondary earners in higher income households; low-wage households often have no wage earners at all,-1.0,0.0,4.0,0.0 +Sotomayor2021,"Sotomayor, Orlando J.",2021,Can the minimum wage reduce poverty and inequality in the developing world? Evidence from Brazil,World Development,https://doi.org/10.1016/j.worlddev.2020.105182,article,economics,Brazil,1995-2015,12.0,implicit,workers,national administrative surveys Monthly Employment survey (PME),quasi-experimental,difference-in-difference estimator,40000.0,household,"national, census",1.0,,"survey data limited to per dwelling, can not account for inhabitants moving",,minimum wage,1,0,0,income,0.0,0.0,poverty,within three months of minimum wage increases poverty declined by 2.8%,,-1.0,2.0,5.0,3.0 +Sotomayor2021,"Sotomayor, Orlando J.",2021,Can the minimum wage reduce poverty and inequality in the developing world? Evidence from Brazil,World Development,https://doi.org/10.1016/j.worlddev.2020.105182,article,economics,Brazil,1995-2015,12.0,implicit,workers,national administrative surveys Monthly Employment survey (PME),quasi-experimental,difference-in-difference estimator,40000.0,household,"national, census",1.0,,"survey data limited to per dwelling, can not account for inhabitants moving",,minimum wage,1,0,0,income,0.0,1.0,Gini coeff,inequality declined by 2.4%; decreasing impact over time; diminishing returns when minimum is high relative to median earnings,unemployment costs (job losses) overwhelmed by benefits (higher wages); but inelastic relationship of increase and changes in poverty,-1.0,2.0,5.0,3.0 +Al-Mamun2014,"Al-Mamun, A., Wahab, S. A., Mazumder, M. N. H., & Su, Z.",2014,Empirical Investigation on the Impact of Microcredit on Women Empowerment in Urban Peninsular Malaysia,Journal of Developing Areas,https://doi.org/10.1353/jda.2014.0030,article,development,Malaysia,2011,2.0,implicit,women,structured face-to-face interviews,quasi-experimental,"cross-sectional stratified random sampling; OLS, multiple regression analysis",242.0,individual,"subnational, urban",1.0,"household economic portfolio model (Chen & Dunn, 1996)",can not establish full experimental design,,microcredit; training,0,0,1,gender; income,1.0,0.0,empowerment index (personal savings; personal income; asset ownership),increase in household decision-making for women; increase in economic security for women; constrained by inability for individuals to obtain loans,individual access to finance; collective agency increase through meetings and training,1.0,2.0,3.0,2.0 +Ahumada2023,"Ahumada, P. P.",2023,"Trade union strength, business power, and labor policy reform: The cases of Argentina and Chile in comparative perspective",International Journal of Comparative Sociology,https://doi.org/10.1177/00207152231163846,article,sociology,global,2009-2017,,,,time-series cross-sectional database for collective labour rights and class power disparity,quasi-experimental,OLS; Arellano estimator,78.0,country,regional,0.0,power resource theory,limited 2-observation dataset per country; potential remaining measurement bias due to concurrent shocks,,collective action (unionization),1,0,0,income,0.0,1.0,Freedom of Association and Collective Bargaining (FACB) and violation index coding,more unequal political power distribution hinders processes of collective organisation,,,,4.0,2.0 +Cardinaleschi2019,"Cardinaleschi, S., De Santis, S., & Schenkel, M.",2019,Effects of decentralised bargaining on gender inequality: Italy,Panoeconomicus,https://doi.org/10.2298/PAN1903325C,article,economics,Italy,2014,,,,Linked Employer Employees Data from Structure of Earnings Survey,quasi-experimental,OLS; Oaxaca-Blinder & Juhn-Murphy-Pierce decompositions,,firm,national; census,0.0,gender endowment discrimination; glass ceiling wage-setting institutions,Only a short-term decomposition of mostly cross-sectional dataset,,collective action (collective bargaining),1,1,0,gender; income,1.0,1.0,income shares,collective negotiation practices address gender gap marginally significantly; need to be supplemented by policies considering human-capital aspects,occupational segregation into feminized industries,1.0,1.0,5.0,2.0 +Coutinho2006,"Coutinho, M. J., Oswald, D. P., & Best, A. M.",2006,Differences in Outcomes for Female and Male Students in Special Education,Career Development for Exceptional Individuals,https://doi.org/10.1177/08857288060290010401,article,education,United States,1972-1994,72.0,implicit,young women with disabilities,National Education Longitudinal Study (NELS-88),quasi-experimental,OLS; linear and two-step multinomial logistic regression,13391.0,individual,national,0.0,,sample does not include students with more severe impairments due to requirement of self-reporting; selection based on parent-reporting may introduce bias,more men than women in skilled/technical positions across all groups,education (special needs),0,1,0,disability; gender; income; age,1.0,0.0,"female employment ratio, female income ratio","females with disabilities less likely to be employed, and earned less than males with disability; females less likely to obtain high school diploma; more likely to be biological parent","men employed more months, more hours per week than women; largest income difference in special education and low achievers",-1.0,2.0,4.0,2.0 +Dieckhoff2015,"Dieckhoff, M., Gash, V., & Steiber, N.",2015,Measuring the effect of institutional change on gender inequality in the labour market,Research in Social Stratification and Mobility,https://doi.org/10.1016/j.rssm.2014.12.001,article,sociology,Austria; Belgium; Czechia; Denmark; Finland; France; Germany; Greece; Hungary; Italy; Netherlands; Norway; Poland; Portugal; Slovakia; Spain; Sweden; and the UK,1992-2007,192.0,,,"repeat cross-sectional data, national survey dataset European Labour Force Survey",quasi-experimental,"two-step multilevel modelling; OLS; multinomial logistic regression, fixed effects approach",18.0,country,national,1.0,,averaged across national contexts may obscure specific insights,PRELIMINARY EXTRACTION; EXTRACTION OF DEREGULATION OF TEMPORARY CONTRACTS; FAMILY POLICIES,collective action (unionization),0,1,0,gender,,,employment,men and women increased standard employment contracts with increased unionization; female employment does not decrease,increased standard employment contract probability,1.0,2.0,4.0,2.0 +Ferguson2015,"Ferguson, J.-P.",2015,The control of managerial discretion: Evidence from unionization’s impact on employment segregation,American Journal of Sociology,https://doi.org/10.1086/683357,article,sociology,United States,1984-2010,,implicit,women workers,"AFL-CIO, NLRB datasets, amended with Current Population Survey",quasi-experimental,regression-discontinuity RD test,50000.0,individual,national,1.0,,most of effects may be caused by unsobservables,,collective action (unionization),0,1,1,gender; ethnicity,1.0,0.0,employment,"stronger unionization associated with more women and minorities in management, but only marginally significant",possible self-selection into unionization,1.0,1.0,4.0,4.5 +Mukhopadhaya2003,"Mukhopadhaya, P.",2003,Trends in income disparity and equality enhancing (?) education policies in the development stages of Singapore,International Journal of Educational Development,https://doi.org/10.1016/S0738-0593(01)00051-7,article,education,Singapore,1980-1995,,,,"Census Reports, Yearbook of Statistics Snagopre",observational,regressions with multivariate decomposition,,,"national, census",0.0,,higher education institutional context may make generalizability outside Singapore harder,only contains labour market ancillary outcomes but strong arguments for generational inequalities; PRELIMINARY EXTRACTION,education,0,1,0,migration; generational; income; ethnicity,1.0,1.0,Gini coeff; Theil index; relative mean income,non-uniform representation of academic abilities across parental education backgrounds; education interventions may exacerbate income inequality through bad targeting,primary income inequality for migrants through between-occupational inequality; advantaged income brackets also advantaged in educative achievement brackets; system of financing higher education in Singapore further disadvantages poorer households,1.0,2.0,5.0,0.0 +Shin2006,"Shin, J., & Moon, S.",2006,"Fertility, relative wages, and labor market decisions: A case of female teachers",Economics of Education Review,https://doi.org/10.1016/j.econedurev.2005.06.004,article,economics,United States,1968-1988,,implicit,female teachers,National Longitudinal Survey of the Young Women,quasi-experimental,fixed effects panel regressions; panel probit estimation,2712.0,individual,national,0.0,,"looks at strictly female sample, can not account for changes relative to men",,education; regulation (relative wage-setting),1,1,0,gender,1.0,1.0,employment (FLFP rate),"higher relative wages significantly increase FLFP for female teachers; presence of new-born baby significantly decreases FLFP, significantly more than non-teachers; does not have effect on teacher/non-teacher selection",most relevant determinant for FLFP as teacher is college major in education; education level significant determinant; higher baby-exit effect may be due to relatively temporary lower wage loss for teachers,1.0,2.0,4.0,2.0 +Alexiou2023,"Alexiou, C., & Trachanas, E.",2023,The impact of trade unions and government party orientation on income inequality: Evidence from 17 OECD economies,Journal of Economic Studies,https://doi.org/10.1108/JES-12-2021-0612,article,economics,Australia; Austria; Belgium; Canada; Denmark; Finland; France; Germany; Italy; Japan; Netherlands; New Zealand; Norway; Spain; Sweden; United Kingdom; United States,2000-2016,,,,Standardized World Income Inequality Database (SWIID) OECD panel data,quasi-experimental,"panel fixed effects approach, Driscoll and Kraay non-parametric covariance matrix estimator",18.0,country,regional,1.0,power resources theory,"can not account for individual drivers such as collective bargaining, arbitration, etc",,collective action (trade unionization),1,1,0,income; gender,0.0,1.0,"Gini coeff (equivalized household disposable income, market income, manufacturing pay)",unionization strongly related with decreasing income inequality; right-wing institutional contexts related with increased income inequality,redistribution of political power under unions; weak unionization increases post-redistribution inequality,-1.0,2.0,4.0,2.0 +Mun2018,"Mun, E., & Jung, J.",2018,"Policy generosity, employer heterogeneity, and women’s employment opportunities: The welfare state paradox reexamined",American Sociological Review,https://doi.org/10.1177/0003122418772857,article,sociology,Japan,1992-2009,84.0,explicit,working mothers,Japan Company Handbook for Job Searchers,quasi-experimental,potential outcomes framework; fixed-effects analysis,600.0,enterprise,national,0.0,welfare state paradox (over-representation of women in low-authority jobs in progressive welfare states),limited generalizability with unique Japanese LM institutional features; limited ability to explain voluntary effects as lasting or as symbolic compliance and impression management,,paid leave (childcare),1,0,0,gender,1.0,0.0,job quality,"no change for promotions for firms not previously providing leave, positive promotion impact for firms already providing leave; incentive-based policies may lead to larger effects",voluntary compliance to maintain positive reputations,1.0,1.0,4.0,2.0 +Mun2018,"Mun, E., & Jung, J.",2018,"Policy generosity, employer heterogeneity, and women’s employment opportunities: The welfare state paradox reexamined",American Sociological Review,https://doi.org/10.1177/0003122418772857,article,sociology,Japan,1992-2009,84.0,explicit,working mothers,Japan Company Handbook for Job Searchers,quasi-experimental,potential outcomes framework; fixed-effects analysis,600.0,enterprise,national,0.0,welfare state paradox (over-representation of women in low-authority jobs in progressive welfare states),limited generalizability with unique Japanese LM institutional features; limited ability to explain voluntary effects as lasting or as symbolic compliance and impression management,,paid leave (childcare),1,0,0,gender,1.0,0.0,employment,no increase in hiring discrimination against women reflected as decreased employment probability,decreases may be due to supply-side mechanisms based on individual career planning and reinforced existing gender division of household labour,0.0,0.0,4.0,2.0 +Thoresen2021,"Thoresen, S. H., Cocks, E., & Parsons, R.",2021,Three year longitudinal study of graduate employment outcomes for Australian apprentices and trainees with and without disabilities,International journal of disability development and education,https://doi.org/10.1080/1034912X.2019.1699648,article,education,Australia,2011-204,36.0,explicit,disabled,experimental survey,quasi-experimental,"quantitative survey (n=489); qualitative semi-structured face-to-face interviews (n=30); annual postal survey, baseline and 2 follow-ups; generalised estimating equation GEE",489.0,individual,local,0.0,,"non-representative sample, over-representation of learning disability; limited generalisability through sample LFP bias and attrition bias; small control sample size",Disaggregated results for female participants overall more unequal,training,0,1,1,disability; income,1.0,0.0,hours worked,"slightly lower for disabled group initially, increase to no significant difference with non-disabled group at last survey",significant but small overall increase (3.1 hours to 1 hour difference); fluctuations for non-disability group,1.0,2.0,2.0,4.0 +Thoresen2021,"Thoresen, S. H., Cocks, E., & Parsons, R.",2021,Three year longitudinal study of graduate employment outcomes for Australian apprentices and trainees with and without disabilities,International journal of disability development and education,https://doi.org/10.1080/1034912X.2019.1699648,article,education,Australia,2011-204,36.0,explicit,disabled,experimental survey,quasi-experimental,"quantitative survey (n=489); qualitative semi-structured face-to-face interviews (n=30); annual postal survey, baseline and 2 follow-ups; generalised estimating equation GEE",489.0,individual,local,0.0,,"non-representative sample, over-representation of learning disability; limited generalisability through sample LFP bias and attrition bias; small control sample size",Disaggregated results for female participants overall more unequal,training,0,1,1,disability; income,1.0,0.0,hourly/weekly income,wages of disability group substantially lower than non-disability; increases to be non-significant over time; lower for female and disability-pension recipient groups,strong initial diff means disability group potentially more often initially employed at junior rates or skewed through attrition bias,1.0,2.0,2.0,4.0 +Wang2016,"Wang, J., & Van Vliet, O.",2016,"Social Assistance and Minimum Income Benefits: Benefit Levels, Replacement Rates and Policies Across 26 Oecd Countries, 1990-2009",European Journal of Social Security,https://doi.org/10.1177/138826271601800401,article,economics,global,1990-2009,,implicit,low-income,"World Bank CPI indicators & Penn World Table; Social Assistance and Minimum Income Protection Dataset (Nelson, 2013)",observational,cross-country comparative analysis,26.0,country,regional,0.0,,some effects may stem from exchange rate/PPP changes instead,due to data availability indicator for real minimum benefits and replacement rates could be constructed for 26 OECD countries,direct transfers (social assistance),1,1,0,income,0.0,1.0,real wage; replacement rate,"real benefit levels increased in most countries, benefit levels increasing more than consumer prices; income replacement rates mixed outcomes with decreases in some countries where real benefit levels increased",bulk of increases comes from deliberate policy changes; but benefit levels not linked to wages and policy changes not taking into account changes in wages,1.0,,4.0,0.0 +Wang2020,"Wang, C., Deng, M., & Deng, J.",2020,Factor reallocation and structural transformation implications of grain subsidies in China,Journal of Asian Economics,https://doi.org/10.1016/j.asieco.2020.101248,article,economics,China,2007-2016,108.0,implicit,rural workers,TERMCN-Land database; Chinese Input-Output Table 2007,simulation,historical and TERMCN-Land structural simulation model,,sector,,0.0,,aggregate national employment exogenous to model; strong correlation to Chinese economic characteristics makes generalisability difficult,,subsidy (firm-level),0,1,0,income; spatial,1.0,1.0,income ratio,the rural-urban income inequality is exacerbated if grain subsidies are removed; over the long term this increase attenuates but income ratio remains decreased for rural labour,"displacement of rural unskilled labour; unskilled labour supply increase, labour difficult to absorb into manufacturing/service sectors; low income/price elasticity for agr. products lower rural income",1.0,2.0,0.0,0.0 +