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Educational Impacts and Cost-Effectiveness of Conditional Cash Transfer Programs in Developing Countries : a Meta-Analysis

Author: Sandra García; Juan Saavedra; National Bureau of Economic Research.
Publisher: Cambridge, Mass. National Bureau of Economic Research 2017.
Series: Working paper series (National Bureau of Economic Research), no. w23594.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
We meta-analyze for impact and cost-effectiveness 94 studies from 47 conditional cash transfer (CCT) programs in low- and middle-income countries worldwide, focusing on educational outcomes that include enrollment, attendance, dropout and school completion. To conceptually guide and interpret the empirical findings of our meta-analysis, we present a simple economic framework of household decision-making that  Read more...
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Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sandra García; Juan Saavedra; National Bureau of Economic Research.
OCLC Number: 1008871033
Notes: July 2017.
Description: 1 online resource
Series Title: Working paper series (National Bureau of Economic Research), no. w23594.
Responsibility: Sandra García, Juan Saavedra.

Abstract:

We meta-analyze for impact and cost-effectiveness 94 studies from 47 conditional cash transfer (CCT) programs in low- and middle-income countries worldwide, focusing on educational outcomes that include enrollment, attendance, dropout and school completion. To conceptually guide and interpret the empirical findings of our meta-analysis, we present a simple economic framework of household decision-making that generates predictions, all else constant, for the association between certain program context and design characteristics, and impact estimates. We also present a simple model for the analysis of program costs, using it to compute cost-effectiveness estimates for a subsample of CCT programs. For all schooling outcomes, we find strong support for heterogeneity in impact, transfer-effectiveness, and cost-effectiveness estimates. Our meta-analytic results of impact and transfer-effectiveness estimates provide support to some - but not all - of the predictions from the household decision-making model.

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