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Education Choices in Mexico: Using a Structural Model and a Randomized Experiment to Evaluate PROGRESA

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Attanasio, Orazio P., Meghir, Costas, Santiago, Ana·2012·The Review of Economic Studies

Abstract

In this paper, we use an economic model to analyse data from a major randomized social experiment, namely PROGRESA in Mexico, and to evaluate its impact on school participation. We show the usefulness of using experimental data to estimate a structural economic model as well as the importance of a structural model in interpreting experimental results. The availability of the experiment also allows us to estimate the program's general equilibrium effects, which we then incorporate into our simulations. Our main findings are (i) the program's grant has a much stronger impact on school enrolment than an equivalent reduction in child wages; (ii) the program has a positive effect on the enrollment of children, especially after primary school; this result is well replicated by the parsimonious structural model; (iii) there are sizeable effects of the program on child wages, which, however, reduce the effectiveness of the program only marginally; and (iv) a revenue neutral change in the program that would increase the grant for secondary school children while eliminating for the primary school children would have a substantially larger effect on enrollment of the latter, while having minor effects on the former.

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Metadata

Authors
Attanasio, O. P., Meghir, C., & Santiago, A.
Venue
The Review of Economic Studies
Published
2011-08-02
Volume
79
Issue
1
Pages
37-66
ISSN
  • 0034-6527 (ISSN-L)
  • 1467-937X
OpenAlex
W2071308505
Cited by
403
References
29
FWCI
71.36
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Education Choices in Mexico: Using a Structural Model and a Randomized Experiment to Evaluate PROGRESA. https://app.cochat.ai/papers/10.1093/restud/rdr015
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Attanasio, O. P., Meghir, C., & Santiago, A. (2012). Education Choices in Mexico: Using a Structural Model and a Randomized Experiment to Evaluate PROGRESA. The Review of Economic Studies. https://doi.org/10.1093/restud/rdr015

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.