chore(data): Add missing intervention type tags
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2 changed files with 88 additions and 88 deletions
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@ -982,7 +982,7 @@
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usage-count-last-180-days = {5},
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usage-count-since-2013 = {11},
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web-of-science-categories = {Industrial Relations \& Labor},
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keywords = {country::Ghana,inequality::gender,method::qualitative,region::SSA,relevant,TODO::full-text}
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keywords = {country::Ghana,inequality::gender,method::qualitative,region::SSA,relevant,TODO::full-text,type::institutional}
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}
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@article{Babchuk1969,
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@ -1797,7 +1797,7 @@ does NOT look at specific policy intervention}
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usage-count-last-180-days = {4},
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usage-count-since-2013 = {10},
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web-of-science-categories = {Economics},
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keywords = {inequality::gender,region::LAC,relevant,TODO::full-text},
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keywords = {inequality::gender,region::LAC,relevant,TODO::full-text,type::structural},
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file = {/home/marty/Zotero/storage/DVAIZE3C/Braunstein_Seguino_2018_The impact of economic policy and structural change on gender employment.pdf}
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}
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@ -2154,7 +2154,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {7},
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web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health},
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keywords = {inequality::disability,relevant,TODO::full-text},
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keywords = {inequality::disability,relevant,TODO::full-text,type::structural},
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note = {looks at inequality; LM markers; policy intervention (in Medicaid programme independent variable)}
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}
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@ -2324,7 +2324,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {7},
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web-of-science-categories = {Economics},
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keywords = {inequality::income,relevant,TODO::full-text}
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keywords = {inequality::income,relevant,TODO::full-text,type::institutional}
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}
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@article{Chauhan2021,
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@ -2367,7 +2367,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {1},
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usage-count-since-2013 = {6},
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web-of-science-categories = {Gerontology},
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keywords = {country::Italy,inequality::age,region::EU,relevant,TODO::full-text}
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keywords = {country::Italy,inequality::age,region::EU,relevant,TODO::full-text,type::structural}
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}
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@article{Chen2007,
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@ -2638,7 +2638,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {2},
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web-of-science-categories = {Economics},
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keywords = {country::Australia,inequality::income,inequality::migration,region::AP,relevant,TODO::full-text}
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keywords = {country::Australia,inequality::income,inequality::migration,region::AP,relevant,TODO::full-text,type::institutional}
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}
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@article{Cockcroft2018,
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@ -3024,7 +3024,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {1},
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usage-count-since-2013 = {5},
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web-of-science-categories = {Sociology},
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keywords = {inequality::migration,relevant,TODO::full-text}
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keywords = {inequality::migration,relevant,TODO::full-text,type::institutional}
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}
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@article{Dang2021a,
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@ -3078,7 +3078,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {7},
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web-of-science-categories = {Medicine, General \& Internal},
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keywords = {country::Bangladesh,inequality::education,inequality::generational,method::qualitative,method::quantitative,region::AP,relevant,TODO::full-text},
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keywords = {country::Bangladesh,inequality::education,inequality::generational,method::qualitative,method::quantitative,region::AP,relevant,TODO::full-text,type::maternity\_benefit},
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file = {/home/marty/Zotero/storage/ZZBWIVEQ/Das et al_2018_Protocol to develop sustainable day care for children aged 1-4 years in.pdf}
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}
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@ -3340,7 +3340,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {5},
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usage-count-since-2013 = {10},
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web-of-science-categories = {Development Studies; Economics},
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keywords = {country::Tanzania,inequality::education,inequality::gender,region::SSA,relevant,TODO::full-text}
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keywords = {country::Tanzania,inequality::education,inequality::gender,region::SSA,relevant,TODO::full-text,type::structural}
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}
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@article{Denton2009,
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@ -3570,7 +3570,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {4},
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usage-count-since-2013 = {7},
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web-of-science-categories = {Social Sciences, Interdisciplinary},
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keywords = {country::Ireland,inequality::gender,inequality::income,region::EU,relevant,TODO::full-text},
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keywords = {country::Ireland,inequality::gender,inequality::income,region::EU,relevant,TODO::full-text,type::taxation},
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file = {/home/marty/Zotero/storage/2VKPF7N7/Doorley et al_2022_The gender gap in income and the COVID-19 pandemic in ireland.pdf}
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}
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@ -3739,7 +3739,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {10},
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web-of-science-categories = {Food Science \& Technology; Nutrition \& Dietetics},
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keywords = {country::Kenya,inequality::gender,method::qualitative,region::SSA,relevant,TODO::full-text}
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keywords = {country::Kenya,inequality::gender,method::qualitative,region::SSA,relevant,TODO::full-text,type::direct\_transfer}
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}
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@article{Dunbar2013,
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@ -3927,7 +3927,7 @@ does NOT look at inequalities affected}
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urldate = {2023-11-24},
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abstract = {Comparing the 1935 and 1975 U.S. birth cohorts, wages of married women grew twice as fast as for married men, and the wage gap between married and single women turned from negative to positive. The employment rate of married women also increased sharply, while that of other groups remained quite stable. To better understand these diverse patterns, we develop a life-cycle model incorporating individual and household decisions about education, employment, marriage/divorce, and fertility. The model provides an excellent fit to wage and employment patterns, along with changes in education, marriage/divorce rates, and fertility. We assume fixed preferences, but allow for four exogenously changing factors: (i) mother's education, health, and taxes/transfers; (ii) marriage market opportunities and divorce costs; (iii) the wage structure and job offers; (iv) contraception technology. We quantify how each factor contributed to changes across cohorts. We find that factor (iii) was the most important force driving the increase in relative wages of married women, but that all four factors are important for explaining the many socio-economic changes that occurred in the past 50 years. Finally, we use the model to simulate a shift from joint to individual taxation. In a revenue-neutral simulation, we predict this would increase employment of married women by 9\% and the marriage rate by 8.1\%.},
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langid = {english},
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keywords = {country::US,inequality::gender,inequality::income,region::NA,relevant,TODO::full-text}
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keywords = {country::US,inequality::gender,inequality::income,region::NA,relevant,TODO::full-text,type::institutional}
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}
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@article{Economou2014,
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@ -4145,7 +4145,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {17},
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web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology},
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keywords = {inequality::poverty,region::EU,relevant,TODO::full-text,type::cash\_transfer}
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keywords = {inequality::poverty,region::EU,relevant,TODO::full-text,type::direct\_transfer}
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}
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@article{Endendijk2018,
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@ -4316,7 +4316,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {1},
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usage-count-since-2013 = {10},
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web-of-science-categories = {Law},
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keywords = {country::Argentina,inequality::gender,inequality::socio-demographic,issue::no-access,region::LAC,relevant,TODO::full-text},
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keywords = {country::Argentina,inequality::gender,inequality::socio-demographic,issue::no-access,region::LAC,relevant,TODO::full-text,type::institutional},
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file = {/home/marty/Zotero/storage/9AUKX57K/Faur_2018_Gender, sexual diversity and work-family balance.pdf}
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}
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@ -4889,7 +4889,7 @@ does NOT look at inequalities affected}
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doi = {10.1023/A:1009445929841},
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urldate = {2023-11-24},
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abstract = {Successful sustained employment for people with disabilities is a function of a complex array of factors. Key among these factors is appropriate accommodation at the workplace. Current approaches to accommodation, however, are often unsuccessful. Research suggests that this is due, in part, to the limited view of accommodation as technical changes to the job. An approach to accommodation that does not take into account the social context ignores the consequences of the process on work group morale and individual self-esteem and well-being. This has repercussions for individual job performance, job satisfaction and work retention, as well as overall work group productivity. An intervention was designed to take into account the social nature of the accommodation process and pilot tested with 12 workers who were out on a short term disability leave with a psychiatric diagnosis and their work groups. Based on a psychoeducational model, the intervention educates the work group about what it means to work with a disability, provides a safe environment where the worker with disability and coworkers can share concerns about the impact of accommodation on the group, informs about the accommodation process and specifies strategies to help the worker with disability best meet job requirements. Key intervention components include 1) the development of a disclosure plan since workplace intervention cannot occur without disclosure, 2) a systematic method for identifying the work group members, 3) a formal psychoeducation training that includes the supervisor, identified work group members, and the individual in the work organization who has the authority to approve accommodations, and 4) on-going follow up support to the supervisor and worker with disability. Although generalizability of the findings is limited because of the small sample size and its application only to those with mental health conditions, they support the importance of this approach to employment outcomes for people with disabilities. First, findings suggest that the rehabilitation process cannot stop at placement. Providers must be willing and able to enter the workplace with their clients. This requires providers to take on new roles such as educators, interpreters, negotiators and trainers. Disclosure must lose its status as a taboo topic. Providers and workers with disabilities must come to understand the risks and benefits of disclosure, and, when the decision is made to disclose, must have a formal, structured plan for carrying it out. Finally, workplace intervention must take into account the social context and provide the opportunity for communication and interaction in order to insure the success of the accommodations.},
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keywords = {inequality::disability,relevant,TODO::full-text}
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keywords = {inequality::disability,relevant,TODO::full-text,type::structural}
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}
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@article{Gautam2022,
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@ -5119,7 +5119,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {11},
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web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels},
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keywords = {country::Tanzania,region::SSA,relevant,TODO::full-text},
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keywords = {country::Tanzania,region::SSA,relevant,TODO::full-text,type::structural},
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file = {/home/marty/Zotero/storage/LWRTMCFC/Gill-Wiehl et al_2022_The value of community technology workers for LPG use.pdf}
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}
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@ -5152,7 +5152,7 @@ does NOT look at inequalities affected}
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urldate = {2023-11-24},
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abstract = {We study how parental leave benefit levels affect household labor supply, family income, and child outcomes, exploiting the speed premium (SP) in the Swedish leave system. The SP grants mothers higher benefits for a subsequent child without reestablishing eligibility through market work if two births occur within a prespecified interval. We use the spacing eligibility cutoffs in a regression discontinuity framework and find that the SP improves educational outcomes of the older child but not those of the younger. Impacts are likely driven by increased maternal time and the quality of maternal time relative to the counterfactual mode of care.},
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langid = {english},
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keywords = {country::Sweden,inequality::education,inequality::generational,region::EU,relevant,TODO::full-text},
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keywords = {country::Sweden,inequality::education,inequality::generational,region::EU,relevant,TODO::full-text,type::maternity\_benefit},
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file = {/home/marty/Zotero/storage/277Y7FUY/Ginja et al_2020_Parental Leave Benefits, Household Labor Supply, and Children’s Long-Run.pdf}
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}
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@ -5830,7 +5830,7 @@ does NOT look at inequalities affected}
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urldate = {2023-11-24},
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abstract = {We ask whether cheaper child care can spur labor supply of mothers in an economy with high female labor supply. We exploit exogenous variation in child care prices induced by a public reform. A triple difference approach is put forward. The results show that reduced child care prices led to a rise in labor supply of mothers by approximately 5 \%. A ``back-of-the-envelope'' calculation estimates an elasticity of approximately -0.25, which is at the lower end compared to other studies, suggesting that labor supply is less elastic when female employment is high. Since a capacity-increase was introduced at the same time, the positive labor supply effect may be a result of both reduced prices and increased capacity.},
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langid = {english},
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keywords = {inequality::gender,inequality::generational,relevant,TODO::full-text}
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keywords = {inequality::gender,inequality::generational,relevant,TODO::full-text,type::maternity\_benefit}
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}
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@article{Harttgen2014,
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@ -6967,7 +6967,7 @@ does NOT look at inequalities affected}
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urldate = {2023-11-20},
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abstract = {How would universal and permanent cash transfers affect the labor market? Since 1982, all Alaskan residents have received a yearly cash dividend from the Alaska Permanent Fund. Using data from the Current Population Survey and a synthetic control method, we show that the dividend had no effect on employment, and increased part-time work by 1.8 percentage points (17\%). We calibrate expected micro and macro effects of the cash transfer using prior literature, and find our results to be consistent with cash stimulating the local economy {\textemdash} a general equilibrium effect. We further show that non-tradable sectors have a more positive employment response than tradable sectors. Overall, our results suggest that a universal and permanent cash transfer does not significantly decrease aggregate employment.},
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langid = {english},
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keywords = {country::US,out::abstract,region::NA,type::cash\_transfer},
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keywords = {country::US,out::abstract,region::NA,type::direct\_transfer},
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note = {looks at probability of employment only (part-time, full-time, equilibria); NOT outcomes on inequalities}
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}
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@ -7509,7 +7509,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {7},
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web-of-science-categories = {Rehabilitation; Sport Sciences},
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keywords = {country::Madagascar,inequality::disability,region::SSA,relevant,TODO::full-text}
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keywords = {country::Madagascar,inequality::disability,region::SSA,relevant,TODO::full-text,type::institutional}
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}
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@article{Khan2021,
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@ -7843,7 +7843,7 @@ does NOT look at inequalities affected}
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usage-count-last-180-days = {1},
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usage-count-since-2013 = {21},
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web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary},
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keywords = {country::Switzerland,inequality::gender,inequality::generational,method::qualitative,region::EU,relevant,TODO::full-text}
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keywords = {country::Switzerland,inequality::gender,inequality::generational,method::qualitative,region::EU,relevant,TODO::full-text,type::maternity\_benefit}
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}
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@article{Langer2015,
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@ -8303,7 +8303,7 @@ however data will be very useful to explore channels of health ineq -{$>$} incom
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {2},
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web-of-science-categories = {Economics},
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keywords = {country::Brazil,inequality::income,region::LAC,relevant,TODO::full-text},
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keywords = {country::Brazil,inequality::income,region::LAC,relevant,TODO::full-text,type::structural},
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file = {/home/marty/Zotero/storage/S9APKR9Y/Loureiro_2020_Class inequality and capital accumulation in Brazil, 1992-2013.pdf}
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}
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@ -8878,7 +8878,7 @@ does NOT look at results of specific policy interventions}
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usage-count-last-180-days = {1},
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usage-count-since-2013 = {7},
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web-of-science-categories = {Public, Environmental \& Occupational Health},
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keywords = {country::Tanzania,inequality::gender,inequality::health,region::SSA,relevant,TODO::full-text}
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keywords = {country::Tanzania,inequality::gender,inequality::health,region::SSA,relevant,TODO::full-text,type::microcredit}
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}
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@article{Migliore2012,
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@ -8974,7 +8974,7 @@ does NOT look at results of specific policy interventions}
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usage-count-last-180-days = {4},
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usage-count-since-2013 = {18},
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web-of-science-categories = {Humanities, Multidisciplinary},
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keywords = {country::Canada,inequality::age,region::NA,relevant,TODO::full-text}
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keywords = {country::Canada,inequality::age,region::NA,relevant,TODO::full-text,type::agency}
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}
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@article{Mishra2010,
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@ -9044,7 +9044,7 @@ does NOT look at results of specific policy interventions}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {3},
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web-of-science-categories = {Business, Finance},
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keywords = {country::Romania,inequality::age,inequality::gender,method::quantitative,region::EU,relevant,TODO::full-text},
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keywords = {country::Romania,inequality::age,inequality::gender,method::quantitative,region::EU,relevant,TODO::full-text,type::pension},
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note = {International Multidisciplinary Scientific Conferences on Social Sciences and Arts (SGEM 2014), Albena, BULGARIA, SEP 01-10, 2014}
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}
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usage-count-last-180-days = {6},
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usage-count-since-2013 = {63},
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web-of-science-categories = {Sociology},
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keywords = {country::Japan,inequality::gender,region::AP,relevant,TODO::full-text}
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keywords = {country::Japan,inequality::gender,region::AP,relevant,TODO::full-text,type::institutional}
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}
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@article{Muntaner2006,
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@ -9904,7 +9904,7 @@ does NOT look at results of specific policy interventions}
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usage-count-last-180-days = {15},
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usage-count-since-2013 = {142},
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web-of-science-categories = {Business; Management},
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keywords = {inequality::gender,method::qualitative,relevant,TODO::full-text}
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keywords = {inequality::gender,method::qualitative,relevant,TODO::full-text,type::structural}
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}
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@article{Painter2016,
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@ -10022,7 +10022,7 @@ does NOT look at results of specific policy interventions}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {13},
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web-of-science-categories = {Management; Women's Studies},
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keywords = {country::Britain,inequality::gender,inequality::income,region::EU,relevant,TODO::full-text}
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keywords = {country::Britain,inequality::gender,inequality::income,region::EU,relevant,TODO::full-text,type::structural}
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}
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@article{Parker2020,
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@ -10048,7 +10048,7 @@ does NOT look at results of specific policy interventions}
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {6},
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web-of-science-categories = {Industrial Relations \& Labor},
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keywords = {country::New\_Zealand,inequality::gender,inequality::income,method::qualitative,region::AP,relevant,TODO::full-text}
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keywords = {country::New\_Zealand,inequality::gender,inequality::income,method::qualitative,region::AP,relevant,TODO::full-text,type::institutional}
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}
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@article{Pasay-an2020,
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@ -10288,7 +10288,7 @@ does NOT look at results of specific policy interventions}
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usage-count-last-180-days = {3},
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usage-count-since-2013 = {22},
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web-of-science-categories = {Political Science; Public Administration},
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keywords = {country::Poland,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text},
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keywords = {country::Poland,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text,type::maternity\_benefit},
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file = {/home/marty/Zotero/storage/TDDXH3U4/Plomien_2019_Gender inequality by design.pdf}
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}
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@ -11061,7 +11061,7 @@ does NOT look at results of specific policy interventions}
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usage-count-last-180-days = {4},
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usage-count-since-2013 = {33},
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web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary},
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keywords = {inequality::disability,inequality::income,relevant,TODO::full-text}
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keywords = {inequality::disability,inequality::income,relevant,TODO::full-text,type::institutional}
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}
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@article{Salkind1982,
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|
|
@ -11469,7 +11469,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {9},
|
||||
web-of-science-categories = {Psychiatry; Rehabilitation},
|
||||
keywords = {country::US,inequality::age,inequality::disability,region::NA,relevant,TODO::full-text},
|
||||
keywords = {country::US,inequality::age,inequality::disability,region::NA,relevant,TODO::full-text,type::training},
|
||||
file = {/home/marty/Zotero/storage/3WTR8LUZ/Shepherd-Banigan et al_2021_Experiences of VA vocational and education training and assistance services.pdf}
|
||||
}
|
||||
|
||||
|
|
@ -11606,7 +11606,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {23},
|
||||
web-of-science-categories = {Economics; Environmental Studies; Geography; Regional \& Urban Planning},
|
||||
keywords = {country::Brazil,inequality::income,inequality::spatial,region::LAC,relevant,TODO::full-text}
|
||||
keywords = {country::Brazil,inequality::income,inequality::spatial,region::LAC,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Sjosten2012,
|
||||
|
|
@ -12837,7 +12837,7 @@ does NOT look at policy impacts (but theories behind it)}
|
|||
usage-count-last-180-days = {2},
|
||||
usage-count-since-2013 = {14},
|
||||
web-of-science-categories = {Public Administration; Social Issues},
|
||||
keywords = {country::Belgium,country::Norway,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text},
|
||||
keywords = {country::Belgium,country::Norway,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text,type::direct\_transfer},
|
||||
note = {looks at inequality; LM adjacency;
|
||||
\par
|
||||
specific PI is cash benefit - though see if its impacts are measured},
|
||||
|
|
@ -13037,7 +13037,7 @@ does NOT look at specific policy interventions}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {11},
|
||||
web-of-science-categories = {Sociology},
|
||||
keywords = {country::Australia,inequality::language,inequality::migration,region::AP,relevant,TODO::full-text}
|
||||
keywords = {country::Australia,inequality::language,inequality::migration,region::AP,relevant,TODO::full-text,type::agency}
|
||||
}
|
||||
|
||||
@article{Wallace1995,
|
||||
|
|
@ -13201,7 +13201,7 @@ does NOT look at specific policy interventions}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {36},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {inequality::gender,region::SSA,relevant,TODO::full-text}
|
||||
keywords = {inequality::gender,region::SSA,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Welch2009,
|
||||
|
|
@ -33691,7 +33691,7 @@ does NOT look at specific policy interventions}
|
|||
usage-count-last-180-days = {2},
|
||||
usage-count-since-2013 = {24},
|
||||
web-of-science-categories = {Development Studies; Economics},
|
||||
keywords = {cite::further\_reading,country::Mexico,inequality::ethnicity,inequality::racial,out::abstract,region::LAC,type::cash\_transfer}
|
||||
keywords = {cite::further\_reading,country::Mexico,inequality::ethnicity,inequality::racial,out::abstract,region::LAC,type::direct\_transfer}
|
||||
}
|
||||
|
||||
@article{WOS:000486108800008,
|
||||
|
|
@ -35912,7 +35912,7 @@ no LM adjacency}
|
|||
usage-count-last-180-days = {4},
|
||||
usage-count-since-2013 = {19},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {cite::channels,inequality::poverty,out::abstract,region::SSA,type::cash\_transfer}
|
||||
keywords = {cite::channels,inequality::poverty,out::abstract,region::SSA,type::direct\_transfer}
|
||||
}
|
||||
|
||||
@article{WOS:000530313300001,
|
||||
|
|
@ -38879,7 +38879,7 @@ no LM adjacency}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {1},
|
||||
web-of-science-categories = {Sociology},
|
||||
keywords = {country::Britain,country::Germany,inequality::income,region::EU,TODO::full-text,type::cash\_transfer}
|
||||
keywords = {country::Britain,country::Germany,inequality::income,region::EU,TODO::full-text,type::direct\_transfer}
|
||||
}
|
||||
|
||||
@article{WOS:000600320900008,
|
||||
|
|
@ -42033,7 +42033,7 @@ does NOT directly look at LM adjacency markers (but education outcomes)}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {9},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {inequality::consumption,TODO::full-text,type::cash\_transfer},
|
||||
keywords = {inequality::consumption,TODO::full-text,type::direct\_transfer},
|
||||
note = {Strong urgence to consider why absence of wealth inequality is a chosen control. Does this ever produce reliable results outside of a vacuum then?}
|
||||
}
|
||||
|
||||
|
|
@ -46254,7 +46254,7 @@ does not look at specific policy intervention}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {2},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {country::US,inequality::migration,region::NA,TODO::full-text,type::universal\_licensing},
|
||||
keywords = {country::US,inequality::migration,region::NA,TODO::full-text,type::institutional},
|
||||
note = {need to find out: Does it actually look at specific inequalities? Or does it just generally look at migration outcomes}
|
||||
}
|
||||
|
||||
|
|
@ -46306,7 +46306,7 @@ does not look at specific policy intervention}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {1},
|
||||
web-of-science-categories = {Economics; Energy \& Fuels; Environmental Sciences; Environmental Studies},
|
||||
keywords = {country::Rwanda,inequality::gender,inequality::income,region::SSA,relevant,TODO::abstract,type::electrification}
|
||||
keywords = {country::Rwanda,inequality::gender,inequality::income,region::SSA,relevant,TODO::abstract,type::infrastructure}
|
||||
}
|
||||
|
||||
@article{WOS:000855148600001,
|
||||
|
|
@ -51650,7 +51650,7 @@ does NOT look at specific policy intervention}
|
|||
usage-count-last-180-days = {13},
|
||||
usage-count-since-2013 = {185},
|
||||
web-of-science-categories = {Environmental Studies},
|
||||
keywords = {country::China,inequality::income,region::AP,relevant,TODO::full-text}
|
||||
keywords = {country::China,inequality::income,region::AP,relevant,TODO::full-text,type::structural}
|
||||
}
|
||||
|
||||
@article{Yu2018,
|
||||
|
|
@ -51673,7 +51673,7 @@ does NOT look at specific policy intervention}
|
|||
usage-count-last-180-days = {3},
|
||||
usage-count-since-2013 = {15},
|
||||
web-of-science-categories = {Computer Science, Information Systems; Engineering, Electrical \& Electronic; Telecommunications},
|
||||
keywords = {country::China,inequality::spatial,region::AP,relevant,TODO::full-text}
|
||||
keywords = {country::China,inequality::spatial,region::AP,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Yukich2021,
|
||||
|
|
|
|||
|
|
@ -1000,7 +1000,7 @@
|
|||
usage-count-last-180-days = {5},
|
||||
usage-count-since-2013 = {11},
|
||||
web-of-science-categories = {Industrial Relations \& Labor},
|
||||
keywords = {country::Ghana,inequality::gender,method::qualitative,region::SSA,relevant,TODO::full-text}
|
||||
keywords = {country::Ghana,inequality::gender,method::qualitative,region::SSA,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Babchuk1969,
|
||||
|
|
@ -1831,7 +1831,7 @@ does NOT look at specific policy intervention}
|
|||
usage-count-last-180-days = {4},
|
||||
usage-count-since-2013 = {10},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {inequality::gender,region::LAC,relevant,TODO::full-text},
|
||||
keywords = {inequality::gender,region::LAC,relevant,TODO::full-text,type::structural},
|
||||
file = {/home/marty/Zotero/storage/DVAIZE3C/Braunstein_Seguino_2018_The impact of economic policy and structural change on gender employment.pdf}
|
||||
}
|
||||
|
||||
|
|
@ -2203,7 +2203,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {7},
|
||||
web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health},
|
||||
keywords = {inequality::disability,relevant,TODO::full-text},
|
||||
keywords = {inequality::disability,relevant,TODO::full-text,type::structural},
|
||||
note = {looks at inequality; LM markers; policy intervention (in Medicaid programme independent variable)}
|
||||
}
|
||||
|
||||
|
|
@ -2373,7 +2373,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {7},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {inequality::income,relevant,TODO::full-text}
|
||||
keywords = {inequality::income,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Chauhan2021,
|
||||
|
|
@ -2416,7 +2416,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {6},
|
||||
web-of-science-categories = {Gerontology},
|
||||
keywords = {country::Italy,inequality::age,region::EU,relevant,TODO::full-text}
|
||||
keywords = {country::Italy,inequality::age,region::EU,relevant,TODO::full-text,type::structural}
|
||||
}
|
||||
|
||||
@article{Chen2007,
|
||||
|
|
@ -2687,7 +2687,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {2},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {country::Australia,inequality::income,inequality::migration,region::AP,relevant,TODO::full-text}
|
||||
keywords = {country::Australia,inequality::income,inequality::migration,region::AP,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Cockcroft2018,
|
||||
|
|
@ -3073,7 +3073,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {5},
|
||||
web-of-science-categories = {Sociology},
|
||||
keywords = {inequality::migration,relevant,TODO::full-text}
|
||||
keywords = {inequality::migration,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Dang2021a,
|
||||
|
|
@ -3127,7 +3127,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {7},
|
||||
web-of-science-categories = {Medicine, General \& Internal},
|
||||
keywords = {country::Bangladesh,inequality::education,inequality::generational,method::qualitative,method::quantitative,region::AP,relevant,TODO::full-text},
|
||||
keywords = {country::Bangladesh,inequality::education,inequality::generational,method::qualitative,method::quantitative,region::AP,relevant,TODO::full-text,type::maternity\_benefit},
|
||||
file = {/home/marty/Zotero/storage/ZZBWIVEQ/Das et al_2018_Protocol to develop sustainable day care for children aged 1-4 years in.pdf}
|
||||
}
|
||||
|
||||
|
|
@ -3389,7 +3389,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {5},
|
||||
usage-count-since-2013 = {10},
|
||||
web-of-science-categories = {Development Studies; Economics},
|
||||
keywords = {country::Tanzania,inequality::education,inequality::gender,region::SSA,relevant,TODO::full-text}
|
||||
keywords = {country::Tanzania,inequality::education,inequality::gender,region::SSA,relevant,TODO::full-text,type::structural}
|
||||
}
|
||||
|
||||
@article{Denton2009,
|
||||
|
|
@ -3626,7 +3626,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {4},
|
||||
usage-count-since-2013 = {7},
|
||||
web-of-science-categories = {Social Sciences, Interdisciplinary},
|
||||
keywords = {country::Ireland,inequality::gender,inequality::income,region::EU,relevant,TODO::full-text},
|
||||
keywords = {country::Ireland,inequality::gender,inequality::income,region::EU,relevant,TODO::full-text,type::taxation},
|
||||
file = {/home/marty/Zotero/storage/2VKPF7N7/Doorley et al_2022_The gender gap in income and the COVID-19 pandemic in ireland.pdf}
|
||||
}
|
||||
|
||||
|
|
@ -3795,7 +3795,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {10},
|
||||
web-of-science-categories = {Food Science \& Technology; Nutrition \& Dietetics},
|
||||
keywords = {country::Kenya,inequality::gender,method::qualitative,region::SSA,relevant,TODO::full-text}
|
||||
keywords = {country::Kenya,inequality::gender,method::qualitative,region::SSA,relevant,TODO::full-text,type::direct\_transfer}
|
||||
}
|
||||
|
||||
@article{Dunbar2013,
|
||||
|
|
@ -3983,7 +3983,7 @@ does NOT look at inequalities affected}
|
|||
urldate = {2023-11-24},
|
||||
abstract = {Comparing the 1935 and 1975 U.S. birth cohorts, wages of married women grew twice as fast as for married men, and the wage gap between married and single women turned from negative to positive. The employment rate of married women also increased sharply, while that of other groups remained quite stable. To better understand these diverse patterns, we develop a life-cycle model incorporating individual and household decisions about education, employment, marriage/divorce, and fertility. The model provides an excellent fit to wage and employment patterns, along with changes in education, marriage/divorce rates, and fertility. We assume fixed preferences, but allow for four exogenously changing factors: (i) mother's education, health, and taxes/transfers; (ii) marriage market opportunities and divorce costs; (iii) the wage structure and job offers; (iv) contraception technology. We quantify how each factor contributed to changes across cohorts. We find that factor (iii) was the most important force driving the increase in relative wages of married women, but that all four factors are important for explaining the many socio-economic changes that occurred in the past 50 years. Finally, we use the model to simulate a shift from joint to individual taxation. In a revenue-neutral simulation, we predict this would increase employment of married women by 9\% and the marriage rate by 8.1\%.},
|
||||
langid = {english},
|
||||
keywords = {country::US,inequality::gender,inequality::income,region::NA,relevant,TODO::full-text}
|
||||
keywords = {country::US,inequality::gender,inequality::income,region::NA,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Economou2014,
|
||||
|
|
@ -4201,7 +4201,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {17},
|
||||
web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology},
|
||||
keywords = {inequality::poverty,region::EU,relevant,TODO::full-text,type::cash\_transfer}
|
||||
keywords = {inequality::poverty,region::EU,relevant,TODO::full-text,type::direct\_transfer}
|
||||
}
|
||||
|
||||
@article{Endendijk2018,
|
||||
|
|
@ -4380,7 +4380,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {10},
|
||||
web-of-science-categories = {Law},
|
||||
keywords = {country::Argentina,inequality::gender,inequality::socio-demographic,issue::no-access,region::LAC,relevant,TODO::full-text},
|
||||
keywords = {country::Argentina,inequality::gender,inequality::socio-demographic,issue::no-access,region::LAC,relevant,TODO::full-text,type::institutional},
|
||||
file = {/home/marty/Zotero/storage/9AUKX57K/Faur_2018_Gender, sexual diversity and work-family balance.pdf}
|
||||
}
|
||||
|
||||
|
|
@ -4953,7 +4953,7 @@ does NOT look at inequalities affected}
|
|||
doi = {10.1023/A:1009445929841},
|
||||
urldate = {2023-11-24},
|
||||
abstract = {Successful sustained employment for people with disabilities is a function of a complex array of factors. Key among these factors is appropriate accommodation at the workplace. Current approaches to accommodation, however, are often unsuccessful. Research suggests that this is due, in part, to the limited view of accommodation as technical changes to the job. An approach to accommodation that does not take into account the social context ignores the consequences of the process on work group morale and individual self-esteem and well-being. This has repercussions for individual job performance, job satisfaction and work retention, as well as overall work group productivity. An intervention was designed to take into account the social nature of the accommodation process and pilot tested with 12 workers who were out on a short term disability leave with a psychiatric diagnosis and their work groups. Based on a psychoeducational model, the intervention educates the work group about what it means to work with a disability, provides a safe environment where the worker with disability and coworkers can share concerns about the impact of accommodation on the group, informs about the accommodation process and specifies strategies to help the worker with disability best meet job requirements. Key intervention components include 1) the development of a disclosure plan since workplace intervention cannot occur without disclosure, 2) a systematic method for identifying the work group members, 3) a formal psychoeducation training that includes the supervisor, identified work group members, and the individual in the work organization who has the authority to approve accommodations, and 4) on-going follow up support to the supervisor and worker with disability. Although generalizability of the findings is limited because of the small sample size and its application only to those with mental health conditions, they support the importance of this approach to employment outcomes for people with disabilities. First, findings suggest that the rehabilitation process cannot stop at placement. Providers must be willing and able to enter the workplace with their clients. This requires providers to take on new roles such as educators, interpreters, negotiators and trainers. Disclosure must lose its status as a taboo topic. Providers and workers with disabilities must come to understand the risks and benefits of disclosure, and, when the decision is made to disclose, must have a formal, structured plan for carrying it out. Finally, workplace intervention must take into account the social context and provide the opportunity for communication and interaction in order to insure the success of the accommodations.},
|
||||
keywords = {inequality::disability,relevant,TODO::full-text}
|
||||
keywords = {inequality::disability,relevant,TODO::full-text,type::structural}
|
||||
}
|
||||
|
||||
@article{Gautam2022,
|
||||
|
|
@ -5183,7 +5183,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {11},
|
||||
web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels},
|
||||
keywords = {country::Tanzania,region::SSA,relevant,TODO::full-text},
|
||||
keywords = {country::Tanzania,region::SSA,relevant,TODO::full-text,type::structural},
|
||||
file = {/home/marty/Zotero/storage/LWRTMCFC/Gill-Wiehl et al_2022_The value of community technology workers for LPG use.pdf}
|
||||
}
|
||||
|
||||
|
|
@ -5216,7 +5216,7 @@ does NOT look at inequalities affected}
|
|||
urldate = {2023-11-24},
|
||||
abstract = {We study how parental leave benefit levels affect household labor supply, family income, and child outcomes, exploiting the speed premium (SP) in the Swedish leave system. The SP grants mothers higher benefits for a subsequent child without reestablishing eligibility through market work if two births occur within a prespecified interval. We use the spacing eligibility cutoffs in a regression discontinuity framework and find that the SP improves educational outcomes of the older child but not those of the younger. Impacts are likely driven by increased maternal time and the quality of maternal time relative to the counterfactual mode of care.},
|
||||
langid = {english},
|
||||
keywords = {country::Sweden,inequality::education,inequality::generational,region::EU,relevant,TODO::full-text},
|
||||
keywords = {country::Sweden,inequality::education,inequality::generational,region::EU,relevant,TODO::full-text,type::maternity\_benefit},
|
||||
file = {/home/marty/Zotero/storage/277Y7FUY/Ginja et al_2020_Parental Leave Benefits, Household Labor Supply, and Children’s Long-Run.pdf}
|
||||
}
|
||||
|
||||
|
|
@ -5894,7 +5894,7 @@ does NOT look at inequalities affected}
|
|||
urldate = {2023-11-24},
|
||||
abstract = {We ask whether cheaper child care can spur labor supply of mothers in an economy with high female labor supply. We exploit exogenous variation in child care prices induced by a public reform. A triple difference approach is put forward. The results show that reduced child care prices led to a rise in labor supply of mothers by approximately 5 \%. A ``back-of-the-envelope'' calculation estimates an elasticity of approximately -0.25, which is at the lower end compared to other studies, suggesting that labor supply is less elastic when female employment is high. Since a capacity-increase was introduced at the same time, the positive labor supply effect may be a result of both reduced prices and increased capacity.},
|
||||
langid = {english},
|
||||
keywords = {inequality::gender,inequality::generational,relevant,TODO::full-text}
|
||||
keywords = {inequality::gender,inequality::generational,relevant,TODO::full-text,type::maternity\_benefit}
|
||||
}
|
||||
|
||||
@article{Harttgen2014,
|
||||
|
|
@ -7144,7 +7144,7 @@ does NOT look at inequalities affected}
|
|||
urldate = {2023-11-20},
|
||||
abstract = {How would universal and permanent cash transfers affect the labor market? Since 1982, all Alaskan residents have received a yearly cash dividend from the Alaska Permanent Fund. Using data from the Current Population Survey and a synthetic control method, we show that the dividend had no effect on employment, and increased part-time work by 1.8 percentage points (17\%). We calibrate expected micro and macro effects of the cash transfer using prior literature, and find our results to be consistent with cash stimulating the local economy {\textemdash} a general equilibrium effect. We further show that non-tradable sectors have a more positive employment response than tradable sectors. Overall, our results suggest that a universal and permanent cash transfer does not significantly decrease aggregate employment.},
|
||||
langid = {english},
|
||||
keywords = {country::US,out::abstract,region::NA,type::cash\_transfer},
|
||||
keywords = {country::US,out::abstract,region::NA,type::direct\_transfer},
|
||||
note = {looks at probability of employment only (part-time, full-time, equilibria); NOT outcomes on inequalities}
|
||||
}
|
||||
|
||||
|
|
@ -7717,7 +7717,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {7},
|
||||
web-of-science-categories = {Rehabilitation; Sport Sciences},
|
||||
keywords = {country::Madagascar,inequality::disability,region::SSA,relevant,TODO::full-text}
|
||||
keywords = {country::Madagascar,inequality::disability,region::SSA,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Khan2021,
|
||||
|
|
@ -8051,7 +8051,7 @@ does NOT look at inequalities affected}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {21},
|
||||
web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary},
|
||||
keywords = {country::Switzerland,inequality::gender,inequality::generational,method::qualitative,region::EU,relevant,TODO::full-text}
|
||||
keywords = {country::Switzerland,inequality::gender,inequality::generational,method::qualitative,region::EU,relevant,TODO::full-text,type::maternity\_benefit}
|
||||
}
|
||||
|
||||
@article{Langer2015,
|
||||
|
|
@ -8511,7 +8511,7 @@ however data will be very useful to explore channels of health ineq -{$>$} incom
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {2},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {country::Brazil,inequality::income,region::LAC,relevant,TODO::full-text},
|
||||
keywords = {country::Brazil,inequality::income,region::LAC,relevant,TODO::full-text,type::structural},
|
||||
file = {/home/marty/Zotero/storage/S9APKR9Y/Loureiro_2020_Class inequality and capital accumulation in Brazil, 1992-2013.pdf}
|
||||
}
|
||||
|
||||
|
|
@ -9086,7 +9086,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {7},
|
||||
web-of-science-categories = {Public, Environmental \& Occupational Health},
|
||||
keywords = {country::Tanzania,inequality::gender,inequality::health,region::SSA,relevant,TODO::full-text}
|
||||
keywords = {country::Tanzania,inequality::gender,inequality::health,region::SSA,relevant,TODO::full-text,type::microcredit}
|
||||
}
|
||||
|
||||
@article{Migliore2012,
|
||||
|
|
@ -9182,7 +9182,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {4},
|
||||
usage-count-since-2013 = {18},
|
||||
web-of-science-categories = {Humanities, Multidisciplinary},
|
||||
keywords = {country::Canada,inequality::age,region::NA,relevant,TODO::full-text}
|
||||
keywords = {country::Canada,inequality::age,region::NA,relevant,TODO::full-text,type::agency}
|
||||
}
|
||||
|
||||
@article{Mishra2010,
|
||||
|
|
@ -9252,7 +9252,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {3},
|
||||
web-of-science-categories = {Business, Finance},
|
||||
keywords = {country::Romania,inequality::age,inequality::gender,method::quantitative,region::EU,relevant,TODO::full-text},
|
||||
keywords = {country::Romania,inequality::age,inequality::gender,method::quantitative,region::EU,relevant,TODO::full-text,type::pension},
|
||||
note = {International Multidisciplinary Scientific Conferences on Social Sciences and Arts (SGEM 2014), Albena, BULGARIA, SEP 01-10, 2014}
|
||||
}
|
||||
|
||||
|
|
@ -9476,7 +9476,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {6},
|
||||
usage-count-since-2013 = {63},
|
||||
web-of-science-categories = {Sociology},
|
||||
keywords = {country::Japan,inequality::gender,region::AP,relevant,TODO::full-text}
|
||||
keywords = {country::Japan,inequality::gender,region::AP,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Muntaner2006,
|
||||
|
|
@ -10128,7 +10128,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {15},
|
||||
usage-count-since-2013 = {142},
|
||||
web-of-science-categories = {Business; Management},
|
||||
keywords = {inequality::gender,method::qualitative,relevant,TODO::full-text}
|
||||
keywords = {inequality::gender,method::qualitative,relevant,TODO::full-text,type::structural}
|
||||
}
|
||||
|
||||
@article{Painter2016,
|
||||
|
|
@ -10246,7 +10246,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {13},
|
||||
web-of-science-categories = {Management; Women's Studies},
|
||||
keywords = {country::Britain,inequality::gender,inequality::income,region::EU,relevant,TODO::full-text}
|
||||
keywords = {country::Britain,inequality::gender,inequality::income,region::EU,relevant,TODO::full-text,type::structural}
|
||||
}
|
||||
|
||||
@article{Parker2020,
|
||||
|
|
@ -10272,7 +10272,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {6},
|
||||
web-of-science-categories = {Industrial Relations \& Labor},
|
||||
keywords = {country::New\_Zealand,inequality::gender,inequality::income,method::qualitative,region::AP,relevant,TODO::full-text}
|
||||
keywords = {country::New\_Zealand,inequality::gender,inequality::income,method::qualitative,region::AP,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Pasay-an2020,
|
||||
|
|
@ -10530,7 +10530,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {3},
|
||||
usage-count-since-2013 = {22},
|
||||
web-of-science-categories = {Political Science; Public Administration},
|
||||
keywords = {country::Poland,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text},
|
||||
keywords = {country::Poland,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text,type::maternity\_benefit},
|
||||
file = {/home/marty/Zotero/storage/TDDXH3U4/Plomien_2019_Gender inequality by design.pdf}
|
||||
}
|
||||
|
||||
|
|
@ -11334,7 +11334,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {4},
|
||||
usage-count-since-2013 = {33},
|
||||
web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary},
|
||||
keywords = {inequality::disability,inequality::income,relevant,TODO::full-text}
|
||||
keywords = {inequality::disability,inequality::income,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Salkind1982,
|
||||
|
|
@ -11742,7 +11742,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {9},
|
||||
web-of-science-categories = {Psychiatry; Rehabilitation},
|
||||
keywords = {country::US,inequality::age,inequality::disability,region::NA,relevant,TODO::full-text},
|
||||
keywords = {country::US,inequality::age,inequality::disability,region::NA,relevant,TODO::full-text,type::training},
|
||||
file = {/home/marty/Zotero/storage/3WTR8LUZ/Shepherd-Banigan et al_2021_Experiences of VA vocational and education training and assistance services.pdf}
|
||||
}
|
||||
|
||||
|
|
@ -11887,7 +11887,7 @@ does NOT look at results of specific policy interventions}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {23},
|
||||
web-of-science-categories = {Economics; Environmental Studies; Geography; Regional \& Urban Planning},
|
||||
keywords = {country::Brazil,inequality::income,inequality::spatial,region::LAC,relevant,TODO::full-text}
|
||||
keywords = {country::Brazil,inequality::income,inequality::spatial,region::LAC,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Sjosten2012,
|
||||
|
|
@ -13132,7 +13132,7 @@ does NOT look at policy impacts (but theories behind it)}
|
|||
usage-count-last-180-days = {2},
|
||||
usage-count-since-2013 = {14},
|
||||
web-of-science-categories = {Public Administration; Social Issues},
|
||||
keywords = {country::Belgium,country::Norway,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text},
|
||||
keywords = {country::Belgium,country::Norway,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text,type::direct\_transfer},
|
||||
note = {looks at inequality; LM adjacency;
|
||||
\par
|
||||
specific PI is cash benefit - though see if its impacts are measured},
|
||||
|
|
@ -13347,7 +13347,7 @@ does NOT look at specific policy interventions}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {11},
|
||||
web-of-science-categories = {Sociology},
|
||||
keywords = {country::Australia,inequality::language,inequality::migration,region::AP,relevant,TODO::full-text}
|
||||
keywords = {country::Australia,inequality::language,inequality::migration,region::AP,relevant,TODO::full-text,type::agency}
|
||||
}
|
||||
|
||||
@article{Wallace1995,
|
||||
|
|
@ -13511,7 +13511,7 @@ does NOT look at specific policy interventions}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {36},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {inequality::gender,region::SSA,relevant,TODO::full-text}
|
||||
keywords = {inequality::gender,region::SSA,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Welch2009,
|
||||
|
|
@ -34001,7 +34001,7 @@ does NOT look at specific policy interventions}
|
|||
usage-count-last-180-days = {2},
|
||||
usage-count-since-2013 = {24},
|
||||
web-of-science-categories = {Development Studies; Economics},
|
||||
keywords = {cite::further\_reading,country::Mexico,inequality::ethnicity,inequality::racial,out::abstract,region::LAC,type::cash\_transfer}
|
||||
keywords = {cite::further\_reading,country::Mexico,inequality::ethnicity,inequality::racial,out::abstract,region::LAC,type::direct\_transfer}
|
||||
}
|
||||
|
||||
@article{WOS:000486108800008,
|
||||
|
|
@ -36222,7 +36222,7 @@ no LM adjacency}
|
|||
usage-count-last-180-days = {4},
|
||||
usage-count-since-2013 = {19},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {cite::channels,inequality::poverty,out::abstract,region::SSA,type::cash\_transfer}
|
||||
keywords = {cite::channels,inequality::poverty,out::abstract,region::SSA,type::direct\_transfer}
|
||||
}
|
||||
|
||||
@article{WOS:000530313300001,
|
||||
|
|
@ -39189,7 +39189,7 @@ no LM adjacency}
|
|||
usage-count-last-180-days = {0},
|
||||
usage-count-since-2013 = {1},
|
||||
web-of-science-categories = {Sociology},
|
||||
keywords = {country::Britain,country::Germany,inequality::income,region::EU,TODO::full-text,type::cash\_transfer}
|
||||
keywords = {country::Britain,country::Germany,inequality::income,region::EU,TODO::full-text,type::direct\_transfer}
|
||||
}
|
||||
|
||||
@article{WOS:000600320900008,
|
||||
|
|
@ -42343,7 +42343,7 @@ does NOT directly look at LM adjacency markers (but education outcomes)}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {9},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {inequality::consumption,TODO::full-text,type::cash\_transfer},
|
||||
keywords = {inequality::consumption,TODO::full-text,type::direct\_transfer},
|
||||
note = {Strong urgence to consider why absence of wealth inequality is a chosen control. Does this ever produce reliable results outside of a vacuum then?}
|
||||
}
|
||||
|
||||
|
|
@ -46564,7 +46564,7 @@ does not look at specific policy intervention}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {2},
|
||||
web-of-science-categories = {Economics},
|
||||
keywords = {country::US,inequality::migration,region::NA,TODO::full-text,type::universal\_licensing},
|
||||
keywords = {country::US,inequality::migration,region::NA,TODO::full-text,type::institutional},
|
||||
note = {need to find out: Does it actually look at specific inequalities? Or does it just generally look at migration outcomes}
|
||||
}
|
||||
|
||||
|
|
@ -46616,7 +46616,7 @@ does not look at specific policy intervention}
|
|||
usage-count-last-180-days = {1},
|
||||
usage-count-since-2013 = {1},
|
||||
web-of-science-categories = {Economics; Energy \& Fuels; Environmental Sciences; Environmental Studies},
|
||||
keywords = {country::Rwanda,inequality::gender,inequality::income,region::SSA,relevant,TODO::abstract,type::electrification}
|
||||
keywords = {country::Rwanda,inequality::gender,inequality::income,region::SSA,relevant,TODO::abstract,type::infrastructure}
|
||||
}
|
||||
|
||||
@article{WOS:000855148600001,
|
||||
|
|
@ -51960,7 +51960,7 @@ does NOT look at specific policy intervention}
|
|||
usage-count-last-180-days = {13},
|
||||
usage-count-since-2013 = {185},
|
||||
web-of-science-categories = {Environmental Studies},
|
||||
keywords = {country::China,inequality::income,region::AP,relevant,TODO::full-text}
|
||||
keywords = {country::China,inequality::income,region::AP,relevant,TODO::full-text,type::structural}
|
||||
}
|
||||
|
||||
@article{Yu2018,
|
||||
|
|
@ -51983,7 +51983,7 @@ does NOT look at specific policy intervention}
|
|||
usage-count-last-180-days = {3},
|
||||
usage-count-since-2013 = {15},
|
||||
web-of-science-categories = {Computer Science, Information Systems; Engineering, Electrical \& Electronic; Telecommunications},
|
||||
keywords = {country::China,inequality::spatial,region::AP,relevant,TODO::full-text}
|
||||
keywords = {country::China,inequality::spatial,region::AP,relevant,TODO::full-text,type::institutional}
|
||||
}
|
||||
|
||||
@article{Yukich2021,
|
||||
|
|
|
|||
Loading…
Reference in a new issue