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  6. Does Conditionality Generate Heterogeneity and Regressivity in Program Impacts? The Progresa Experience

Does Conditionality Generate Heterogeneity and Regressivity in Program Impacts? The Progresa Experience

File(s)
Cornell_Dyson_wp0609.pdf (799.2 KB)
Permanent Link(s)
https://hdl.handle.net/1813/58065
Collections
Dyson School Working Papers
Author
Campo, Juan Carlos Chavez-Martin del
Abstract

We 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

Description
WP 2006-09 January 2006
JEL Classification Codes: H430; C140; C210
Date Issued
2006-01-01
Publisher
Charles H. Dyson School of Applied Economics and Management, Cornell University
Keywords
Heterogeneous Program Impacts
•
Regressivity
•
Progresa
•
Conditional Cash Transfers
•
Nonparametric Methods
•
Semiparametric Methods
Type
article

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