feat(data): Extract Debowicz2014, Sotomayor2020
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02-data/intermediate/relevant/Debowicz2014.yml
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02-data/intermediate/relevant/Debowicz2014.yml
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author: Debowicz, D., & Golan, J
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year: 2014
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title: "The impact of Oportunidades on human capital and income distribution in Mexico: A top-down/bottom-up approach"
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publisher: Journal of Policy Modeling
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uri: https://doi.org/10.1016/j.jpolmod.2013.10.014
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discipline: economics
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country: Mexico
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period: 2008
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maxlength:
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targeting: explicit
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group: poor
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data: national administrative survey Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) 2008
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design: quasi-experimental
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method: general equilibrium model, microeconometric simulation model; using Gini coefficient
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sample: 30000
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unit: household
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representativeness: national
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causal: 1 # 0 correlation / 1 causal
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theory: human capital theory
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limitations: analytical household-level limitations; no indirect cost-effects able to be accounted for; static model
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observation:
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- intervention: cash transfer (conditional)
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institutional: 0
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structural: 1
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agency: 0
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inequality: income; generational
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type: 0 # 0 vertical / 1 horizontal
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indicator: 1 # 0 absolute / 1 relative
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measures: income
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findings: raises average income of poorest households by 23%
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channels: cash influx; positive wage effect benefitting those who keep their children at work; direct benefit for human capital increase (school attendance), indirect benefit for increased scarcity of unskilled labor
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direction: 1
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significance: 2
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notes: study attempts to explictly account for spillover effects
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annotation: |
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A study looking at the impact of the cash transfer programme Oportunidades in Mexico, conditioned on a household's children school attendance, on income inequality among others.
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It finds that a combination of effects raises the average income of the poorest households by 23 percent.
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The authors argue in the short run this benefits households through the direct cash influx itself, as well as generating a positive wage effect benefitting those who keep their children at work.
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Additionally, over the long-term for the children in the model there is a direct benefit for those whose human capital is increased due to the programme, but also an indirect benefit for those who did not increase their human capital, because of the increased scarcity of unskilled labor as a secondary effect.
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Due to the relatively low cost of the programme if correctly targeted, it seems to have a significantly positive effect on the Mexican economy and its income equality.
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02-data/intermediate/relevant/Sotomayor2020.yml
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02-data/intermediate/relevant/Sotomayor2020.yml
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author: Sotomayor, Orlando J.
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year: 2020
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title: Can the minimum wage reduce poverty and inequality in the developing world? Evidence from Brazil
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publisher: World Development
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uri: https://doi.org/10.1016/j.worlddev.2020.105182
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discipline: economics
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country: Brazil
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period: 1995-2015
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maxlength: 12
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targeting: implicit
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group: workers
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data: national administrative surveys Monthly Employment survey (PME)
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design: quasi-experimental
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method: difference-in-difference estimator
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sample: 40000
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unit: household
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representativeness: national
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causal: 1
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theory:
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limitations: suvey data limited to per dwelling, can not account for inhabitants moving
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observation:
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- intervention: minimum wage
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institutional: 1
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structural: 0
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agency: 0
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inequality: income
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type: 0
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indicator: 1
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measures: poverty; income
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findings: within three months of minimum wage increases poverty declined by 2.8%, inequality declined by 2.4%; decreasing impact over time; diminishing returns when minimum is high relative to median earnings
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channels: unemployment costs (job losses) overwhelmed by benefits (higher wages); but inelastic relationship of increase and changes in poverty
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direction: 1
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significance: 2
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notes:
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annotation: |
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A study on the impact of subsequent minimum wage floor introductions on poverty and income inequality in Brazil.
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It finds that in the short-term (3 months) wage floor increases reduced poverty by 2.8% and reduced income inequality by 2.4%.
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Over the longer-term these impacts decrease, and the minimum wage increases only show diminishing returns when the legal minimum is already high in relation to median earnings.
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It suggests that additional unemployment costs, created through new job losses through the introduction, are offset by the increased benefits --- the higher wages for workers.
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The authors also suggest an inelastic relationship between increases and poverty incidence.
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One limitation of the study is the limit of tracking individuals in the underlying data which can not account for people moving household to new locations.
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The data can only track individual dwellings --- instead of the households and inhabitants within --- and thus resembles repeated cross-sectional data more than actual panel data.
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03-supplementary_data/extraction_template.yml
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03-supplementary_data/extraction_template.yml
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author:
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year:
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title:
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publisher:
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uri:
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discipline:
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country:
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period:
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maxlength:
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targeting:
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group:
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data:
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design:
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method:
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sample:
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unit:
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representativeness:
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causal: # 0 correlation / 1 causal
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theory:
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limitations:
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observation:
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- intervention:
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institutional:
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structural:
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agency:
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inequality:
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type: # 0 vertical / 1 horizontal
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indicator: # 0 absolute / 1 relative
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measures:
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findings:
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channels:
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direction:
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significance: # 0 nsg / 1 msg / 2 sg
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notes:
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annotation:
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@ -5448,7 +5448,8 @@ does NOT look at inequalities affected}
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doi = {10.18235/0001849},
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doi = {10.18235/0001849},
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urldate = {2023-11-24},
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urldate = {2023-11-24},
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abstract = {This paper evaluates the impacts of a public program that introduced access to part-time childcare centers for children younger than four years of age in poor urban areas in Nicaragua. We explore the effects of this program on several measures of children's and parental outcomes. Our identification strategy exploits the original randomization and the distance to the centers, using Instrumental Variables (IV) and Marginal Treatment Effects (MTE) methods to tackle imperfect compliance with the original treatment assignments. We present a theoretical model to rationalize our IV assumptions. We find a positive impact of 0.35 standard deviations on the personal-social domain of a widely used development test, and an impact of 14 percentage points on mothers' work participation. Our results are robust to different econometric specifications. We also find suggestive evidence that quality greatly matters for the impacts at the child level, but not at the mother level.},
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abstract = {This paper evaluates the impacts of a public program that introduced access to part-time childcare centers for children younger than four years of age in poor urban areas in Nicaragua. We explore the effects of this program on several measures of children's and parental outcomes. Our identification strategy exploits the original randomization and the distance to the centers, using Instrumental Variables (IV) and Marginal Treatment Effects (MTE) methods to tackle imperfect compliance with the original treatment assignments. We present a theoretical model to rationalize our IV assumptions. We find a positive impact of 0.35 standard deviations on the personal-social domain of a widely used development test, and an impact of 14 percentage points on mothers' work participation. Our results are robust to different econometric specifications. We also find suggestive evidence that quality greatly matters for the impacts at the child level, but not at the mother level.},
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keywords = {country::Nicaragua,inequality::gender,inequality::generational,region::LAC,relevant,TODO::full-text,type::maternity\_benefit}
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keywords = {country::Nicaragua,inequality::gender,inequality::generational,region::LAC,relevant,TODO::full-text,type::maternity\_benefit},
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file = {/home/marty/Zotero/storage/5RWXD2JC/Hojman_López Bóo_2019_Cost-Effective Public Daycare in a Low-Income Economy Benefits Children and.pdf}
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}
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}
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@article{Hollister1974,
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@article{Hollister1974,
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@ -20553,7 +20554,8 @@ does NOT look at specific policy interventions}
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usage-count-last-180-days = {1},
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usage-count-last-180-days = {1},
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usage-count-since-2013 = {31},
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usage-count-since-2013 = {31},
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web-of-science-categories = {Economics},
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web-of-science-categories = {Economics},
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keywords = {country::Mexico,inequality::income,region::LAC,relevant,TODO::full-text}
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keywords = {country::Mexico,done::extracted,inequality::generational,inequality::income,inequality::poverty,region::LAC,relevant},
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file = {/home/marty/Zotero/storage/KFIVS2ZH/Debowicz_Golan_2014_The impact of Oportunidades on human capital and income distribution in Mexico.pdf}
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}
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}
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@incollection{WOS:000331018800033,
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@incollection{WOS:000331018800033,
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@ -29397,7 +29399,8 @@ but not inequalities in specific}
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usage-count-last-180-days = {4},
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usage-count-last-180-days = {4},
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usage-count-since-2013 = {10},
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usage-count-since-2013 = {10},
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web-of-science-categories = {Economics},
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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},
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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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}
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@article{WOS:000439450400006,
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@article{WOS:000439450400006,
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@ -30003,7 +30006,8 @@ but not inequalities in specific}
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usage-count-last-180-days = {1},
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usage-count-last-180-days = {1},
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usage-count-since-2013 = {10},
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usage-count-since-2013 = {10},
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web-of-science-categories = {Law},
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web-of-science-categories = {Law},
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keywords = {country::Argentina,inequality::gender,inequality::socio-demographic,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},
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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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}
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@article{WOS:000446544500014,
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@article{WOS:000446544500014,
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@ -30890,7 +30894,8 @@ does NOT look at specific policy interventions}
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usage-count-last-180-days = {3},
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usage-count-last-180-days = {3},
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usage-count-since-2013 = {33},
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usage-count-since-2013 = {33},
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web-of-science-categories = {Development Studies; Economics},
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web-of-science-categories = {Development Studies; Economics},
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keywords = {country::Ecuador,inequality::age,inequality::gender,inequality::income,inequality::poverty,region::LAC,relevant,TODO::full-text,type::minimum\_wage}
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keywords = {country::Ecuador,inequality::age,inequality::gender,inequality::income,inequality::poverty,region::LAC,relevant,TODO::full-text,type::minimum\_wage},
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file = {/home/marty/Zotero/storage/CERW8FCC/Wong_2019_Minimum wage impacts on wages and hours worked of low-income workers in Ecuador.pdf}
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}
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}
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@article{WOS:000458029100006,
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@article{WOS:000458029100006,
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@ -36396,7 +36401,8 @@ no LM adjacency}
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keywords = {country::Belgium,country::Norway,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text},
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keywords = {country::Belgium,country::Norway,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text},
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note = {looks at inequality; LM adjacency;
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note = {looks at inequality; LM adjacency;
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\par
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\par
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specific PI is cash benefit - though see if its impacts are measured}
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specific PI is cash benefit - though see if its impacts are measured},
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file = {/home/marty/Zotero/storage/CHLVI38F/Vinck_Brekke_2020_Gender and education inequalities in parental employment and earnings when.pdf}
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}
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}
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@article{WOS:000544423900028,
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@article{WOS:000544423900028,
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@ -36624,7 +36630,8 @@ specific PI is cash benefit - though see if its impacts are measured}
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usage-count-last-180-days = {1},
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usage-count-last-180-days = {1},
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usage-count-since-2013 = {3},
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usage-count-since-2013 = {3},
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web-of-science-categories = {Environmental Studies; Geography; Regional \& Urban Planning},
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web-of-science-categories = {Environmental Studies; Geography; Regional \& Urban Planning},
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keywords = {country::Britain,inequality::spatial,region::EU,relevant,TODO::full-text,type::work\_programme}
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keywords = {country::Britain,inequality::spatial,region::EU,relevant,TODO::full-text,type::work\_programme},
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file = {/home/marty/Zotero/storage/R3RIUMNU/Whitworth_2021_Spatial creaming and parking.pdf}
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}
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}
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@article{WOS:000548894200001,
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@article{WOS:000548894200001,
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@ -37264,7 +37271,8 @@ specific PI is cash benefit - though see if its impacts are measured}
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usage-count-last-180-days = {0},
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {2},
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usage-count-since-2013 = {2},
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web-of-science-categories = {Economics},
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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},
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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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}
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@article{WOS:000569313300010,
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@article{WOS:000569313300010,
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@ -37614,7 +37622,8 @@ specific PI is cash benefit - though see if its impacts are measured}
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usage-count-last-180-days = {1},
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usage-count-last-180-days = {1},
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usage-count-since-2013 = {2},
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usage-count-since-2013 = {2},
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web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary},
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web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary},
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keywords = {country::Britain,region::EU,relevant,TODO::full-text,type::work\_programme}
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keywords = {country::Britain,region::EU,relevant,TODO::full-text,type::work\_programme},
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file = {/home/marty/Zotero/storage/TRVEJ5HN/Whitworth_2020_Activating spatial inequality.pdf}
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}
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}
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@article{WOS:000576971300001,
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@article{WOS:000576971300001,
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@ -38714,7 +38723,8 @@ specific PI is cash benefit - though see if its impacts are measured}
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usage-count-last-180-days = {3},
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usage-count-last-180-days = {3},
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usage-count-since-2013 = {49},
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usage-count-since-2013 = {49},
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web-of-science-categories = {Development Studies; Economics},
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web-of-science-categories = {Development Studies; Economics},
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keywords = {country::Brazil,inequality::income,region::LAC,relevant,TODO::full-text}
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keywords = {country::Brazil,done::extracted,inequality::income,inequality::poverty,region::LAC,relevant},
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file = {/home/marty/Zotero/storage/7Y5IZGM4/Sotomayor_2021_Can the minimum wage reduce poverty and inequality in the developing world.pdf}
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}
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}
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@article{WOS:000601162800039,
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@article{WOS:000601162800039,
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@ -40272,7 +40282,8 @@ does NOT directly look at LM adjacency markers (but education outcomes)}
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usage-count-last-180-days = {0},
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usage-count-last-180-days = {0},
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usage-count-since-2013 = {8},
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usage-count-since-2013 = {8},
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web-of-science-categories = {Economics},
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web-of-science-categories = {Economics},
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keywords = {country::Italy,inequality::income,region::EU,relevant,TODO::full-text,type::ubi}
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keywords = {country::Italy,inequality::income,region::EU,relevant,TODO::full-text,type::ubi},
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file = {/home/marty/Zotero/storage/RYUVPNHE/Cieplinski et al_2021_Coupling environmental transition and social prosperity.pdf}
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}
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}
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@article{WOS:000652845500025,
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@article{WOS:000652845500025,
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@ -40401,7 +40412,8 @@ does NOT directly look at LM adjacency markers (but education outcomes)}
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usage-count-last-180-days = {3},
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usage-count-last-180-days = {3},
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usage-count-since-2013 = {24},
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usage-count-since-2013 = {24},
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web-of-science-categories = {Economics},
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web-of-science-categories = {Economics},
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keywords = {country::Pakistan,inequality::income,region::AP,relevant,TODO::full-text,type::trade\_liberalization}
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keywords = {country::Pakistan,inequality::income,region::AP,relevant,TODO::full-text,type::trade\_liberalization},
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file = {/home/marty/Zotero/storage/QZF2BYMB/Khan et al_2021_Trade liberalization and income inequality.pdf}
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}
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}
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@article{WOS:000654673800010,
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@article{WOS:000654673800010,
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@ -40599,7 +40611,8 @@ does NOT directly look at LM adjacency markers (but education outcomes)}
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usage-count-last-180-days = {1},
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usage-count-last-180-days = {1},
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usage-count-since-2013 = {9},
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usage-count-since-2013 = {9},
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web-of-science-categories = {Psychiatry; Rehabilitation},
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web-of-science-categories = {Psychiatry; Rehabilitation},
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keywords = {country::US,inequality::age,inequality::disability,region::NA,relevant,TODO::full-text}
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keywords = {country::US,inequality::age,inequality::disability,region::NA,relevant,TODO::full-text},
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file = {/home/marty/Zotero/storage/3WTR8LUZ/Shepherd-Banigan et al_2021_Experiences of VA vocational and education training and assistance services.pdf}
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}
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}
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@article{WOS:000657458300001,
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@article{WOS:000657458300001,
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@ -40797,7 +40810,8 @@ does NOT directly look at LM adjacency markers (but education outcomes)}
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usage-count-last-180-days = {5},
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usage-count-last-180-days = {5},
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usage-count-since-2013 = {22},
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usage-count-since-2013 = {22},
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web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary},
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web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary},
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keywords = {relevant,TODO::full-text,type::maternity\_benefit}
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keywords = {relevant,TODO::full-text,type::maternity\_benefit},
|
||||||
|
file = {/home/marty/Zotero/storage/UNGU3LEN/Son_Boeger_2021_The inclusiveness of maternity leave rights over 120 years and across five.pdf}
|
||||||
}
|
}
|
||||||
|
|
||||||
@article{WOS:000661193800004,
|
@article{WOS:000661193800004,
|
||||||
|
@ -40945,7 +40959,8 @@ does NOT directly look at LM adjacency markers (but education outcomes)}
|
||||||
usage-count-last-180-days = {6},
|
usage-count-last-180-days = {6},
|
||||||
usage-count-since-2013 = {21},
|
usage-count-since-2013 = {21},
|
||||||
web-of-science-categories = {Economics},
|
web-of-science-categories = {Economics},
|
||||||
keywords = {inequality::income,relevant,TODO::full-text,type::minimum\_wage}
|
keywords = {inequality::income,relevant,TODO::full-text,type::minimum\_wage},
|
||||||
|
file = {/home/marty/Zotero/storage/93ZA5REJ/Eckardt_2022_Minimum wages in an automating economy.pdf}
|
||||||
}
|
}
|
||||||
|
|
||||||
@article{WOS:000667739500018,
|
@article{WOS:000667739500018,
|
||||||
|
@ -42219,7 +42234,7 @@ does NOT directly look at LM adjacency markers (but education outcomes)}
|
||||||
usage-count-last-180-days = {2},
|
usage-count-last-180-days = {2},
|
||||||
usage-count-since-2013 = {11},
|
usage-count-since-2013 = {11},
|
||||||
web-of-science-categories = {Development Studies; Economics},
|
web-of-science-categories = {Development Studies; Economics},
|
||||||
keywords = {cite::channels,country::Nigeria,ineqality::income,inequality::gender,out::abstract,region::SSA}
|
keywords = {cite::channels,country::Nigeria,inequality::gender,inequality::income,out::abstract,region::SSA}
|
||||||
}
|
}
|
||||||
|
|
||||||
@article{WOS:000711380600007,
|
@article{WOS:000711380600007,
|
||||||
|
@ -43077,7 +43092,8 @@ does NOT directly look at LM adjacency markers (but education outcomes)}
|
||||||
usage-count-last-180-days = {0},
|
usage-count-last-180-days = {0},
|
||||||
usage-count-since-2013 = {11},
|
usage-count-since-2013 = {11},
|
||||||
web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels},
|
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},
|
||||||
|
file = {/home/marty/Zotero/storage/LWRTMCFC/Gill-Wiehl et al_2022_The value of community technology workers for LPG use.pdf}
|
||||||
}
|
}
|
||||||
|
|
||||||
@article{WOS:000742514900001,
|
@article{WOS:000742514900001,
|
||||||
|
@ -44906,7 +44922,8 @@ does not look at LM adjacency}
|
||||||
usage-count-last-180-days = {1},
|
usage-count-last-180-days = {1},
|
||||||
usage-count-since-2013 = {2},
|
usage-count-since-2013 = {2},
|
||||||
web-of-science-categories = {Public, Environmental \& Occupational Health},
|
web-of-science-categories = {Public, Environmental \& Occupational Health},
|
||||||
keywords = {inequality::disability,relevant,TODO::full-text}
|
keywords = {inequality::disability,relevant,TODO::full-text},
|
||||||
|
file = {/home/marty/Zotero/storage/FIIWW9R2/de Geus et al_2022_Return to work factors and vocational rehabilitation interventions for.pdf}
|
||||||
}
|
}
|
||||||
|
|
||||||
@article{WOS:000789880800001,
|
@article{WOS:000789880800001,
|
||||||
|
@ -46071,7 +46088,8 @@ does not look at specific policy intervention}
|
||||||
usage-count-last-180-days = {4},
|
usage-count-last-180-days = {4},
|
||||||
usage-count-since-2013 = {7},
|
usage-count-since-2013 = {7},
|
||||||
web-of-science-categories = {Social Sciences, Interdisciplinary},
|
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},
|
||||||
|
file = {/home/marty/Zotero/storage/2VKPF7N7/Doorley et al_2022_The gender gap in income and the COVID-19 pandemic in ireland.pdf}
|
||||||
}
|
}
|
||||||
|
|
||||||
@article{WOS:000832544500001,
|
@article{WOS:000832544500001,
|
||||||
|
|
Loading…
Reference in a new issue