Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments
American Economic Journal: Applied Economics, 2019, vol. 11, issue 1, 57-91
Despite evidence from multiple randomized evaluations of microcredit, questions about external validity have impeded consensus on the results. I jointly estimate the average effect and the heterogeneity in effects across seven studies using Bayesian hierarchical models. I find the impact on household business and consumption variables is unlikely to be transformative and may be negligible. I find reasonable external validity: true heterogeneity in effects is moderate, and approximately 60 percent of observed heterogeneity is sampling variation. Households with previous business experience have larger but more heterogeneous effects. Economic features of microcredit interventions predict variation in effects better than studies' evaluation protocols.
JEL-codes: D14 G21 I38 O12 O16 P34 P36 (search for similar items in EconPapers)
Note: DOI: 10.1257/app.20170299
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Persistent link: https://EconPapers.repec.org/RePEc:aea:aejapp:v:11:y:2019:i:1:p:57-91
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