Does Conditionality Generate Heterogeneity and Regressivity in Program Impacts? The Progresa Experience
AbstractWe study both empirically and theoretically the consequences of introducing a conditional cash transfer scheme for the distribution of program impacts. Intuitively, if the conditioned-on good is normal, then better-off households tend to receive a larger positive impact. I formalize this insight by means of a simple model of child labor, applying the Nash-Bargaining approach as the solution concept. A series of tests for heterogeneity in program impacts are developed and applied to Progresa, an anti-poverty program in Mexico. It can be concluded that this program exhibits a lot of heterogeneity in treatment effects. Consistent with the model, and under the assumption of rank preservation, program impacts are distributionally regressive, although positive, within the treated population
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Bibliographic InfoPaper provided by Cornell University, Department of Applied Economics and Management in its series Working Papers with number 127042.
Date of creation: 2006
Date of revision:
Heterogeneous Program Impacts; Regressivity; Progresa; Conditional Cash Transfers; Nonparametric Methods; Semiparametric Methods.; Research Methods/ Statistical Methods; H430; C140; C210;
Find related papers by JEL classification:
- H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
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