Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments
American Economic Journal: Applied Economics
vol. 11,
no. 1, January 2019
(pp. 57-91)
(Complimentary)
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.Citation
Meager, Rachael. 2019. "Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments." American Economic Journal: Applied Economics, 11 (1): 57-91. DOI: 10.1257/app.20170299Additional Materials
JEL Classification
- D14 Household Saving; Personal Finance
- G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages
- I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
- O12 Microeconomic Analyses of Economic Development
- O16 Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
- P34 Socialist Institutions and Their Transitions: Financial Economics
- P36 Socialist Institutions and Their Transitions: Consumer Economics; Health; Education and Training: Welfare, Income, Wealth, and Poverty
There are no comments for this article.
Login to Comment