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Replication data for: Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments

Version
V0
Resource Type
Dataset
Creator
  • Meager, Rachael
Publication Date
2019-01-01
Description
  • Abstract

    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.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/app.20170299 (Text)
Publications
  • Meager, Rachael. “Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments.” American Economic Journal: Applied Economics 11, no. 1 (January 2019): 57–91. https://doi.org/10.1257/app.20170299.
    • ID: 10.1257/app.20170299 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-12-07

Meager, Rachael (2019): Replication data for: Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E116357