feat(data): Extract Debowicz2014, Sotomayor2020

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author: Debowicz, D., & Golan, J
year: 2014
title: "The impact of Oportunidades on human capital and income distribution in Mexico: A top-down/bottom-up approach"
publisher: Journal of Policy Modeling
uri: https://doi.org/10.1016/j.jpolmod.2013.10.014
discipline: economics
country: Mexico
period: 2008
maxlength:
targeting: explicit
group: poor
data: national administrative survey Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) 2008
design: quasi-experimental
method: general equilibrium model, microeconometric simulation model; using Gini coefficient
sample: 30000
unit: household
representativeness: national
causal: 1 # 0 correlation / 1 causal
theory: human capital theory
limitations: analytical household-level limitations; no indirect cost-effects able to be accounted for; static model
observation:
- intervention: cash transfer (conditional)
institutional: 0
structural: 1
agency: 0
inequality: income; generational
type: 0 # 0 vertical / 1 horizontal
indicator: 1 # 0 absolute / 1 relative
measures: income
findings: raises average income of poorest households by 23%
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
direction: 1
significance: 2
notes: study attempts to explictly account for spillover effects
annotation: |
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.
It finds that a combination of effects raises the average income of the poorest households by 23 percent.
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.
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.
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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author: Sotomayor, Orlando J.
year: 2020
title: Can the minimum wage reduce poverty and inequality in the developing world? Evidence from Brazil
publisher: World Development
uri: https://doi.org/10.1016/j.worlddev.2020.105182
discipline: economics
country: Brazil
period: 1995-2015
maxlength: 12
targeting: implicit
group: workers
data: national administrative surveys Monthly Employment survey (PME)
design: quasi-experimental
method: difference-in-difference estimator
sample: 40000
unit: household
representativeness: national
causal: 1
theory:
limitations: suvey data limited to per dwelling, can not account for inhabitants moving
observation:
- intervention: minimum wage
institutional: 1
structural: 0
agency: 0
inequality: income
type: 0
indicator: 1
measures: poverty; income
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
channels: unemployment costs (job losses) overwhelmed by benefits (higher wages); but inelastic relationship of increase and changes in poverty
direction: 1
significance: 2
notes:
annotation: |
A study on the impact of subsequent minimum wage floor introductions on poverty and income inequality in Brazil.
It finds that in the short-term (3 months) wage floor increases reduced poverty by 2.8% and reduced income inequality by 2.4%.
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.
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.
The authors also suggest an inelastic relationship between increases and poverty incidence.
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.
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.