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

dc.contributor.authorSandra García
dc.contributor.authorJuan Saavedra
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T13:53:45Z
dc.date.available2026-03-22T13:53:45Z
dc.date.issued2017
dc.descriptionCitaciones: 117
dc.description.abstractWe meta-analyze for impact and cost-effectiveness 94 studies from 47 conditional cash transfer 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 on 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 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.
dc.identifier.doi10.3102/0034654317723008
dc.identifier.urihttps://doi.org/10.3102/0034654317723008
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/43349
dc.language.isoen
dc.publisherSAGE Publishing
dc.relation.ispartofReview of Educational Research
dc.sourceUniversidad de Los Andes
dc.subjectConditional cash transfer
dc.subjectDropout (neural networks)
dc.subjectMeta-analysis
dc.subjectContext (archaeology)
dc.subjectAttendance
dc.subjectDeveloping country
dc.subjectCost effectiveness
dc.subjectEconometrics
dc.subjectActuarial science
dc.subjectEconomics
dc.titleEducational Impacts and Cost-Effectiveness of Conditional Cash Transfer Programs in Developing Countries: A Meta-Analysis
dc.typearticle

Files