Bayesian hierarchical models serve as a standard methodology for aggregation and synthesis, used widely in statistics and other disciplines. I use this framework to aggregate the data from seven randomised experiments of expanding access to microcredit, assessing both the general impact of the...

We investigate the effects of team competition on pro-social lending activity on Kiva.org, the first microlending website to match lenders with entrepreneurs in developing countries. Using naturally occurring field data, we find that lenders who join teams contribute 1.2 more loans ($30–$42)...

Experimental and observational studies have highlighted the importance of agents being conditionally cooperative when facing a social dilemma. We formalize this mechanism in a theoretical model that portrays a small community having joint access to a common pool resource. The diffusion of norms...

Numerous laboratory studies report on behaviors inconsistent with rational economic models. How much do these inconsistencies matter in natural settings, when consumers make large, real decisions and have the opportunity to learn from experiences? We report on a field experiment designed to...

We exploit novel data collected within a randomised controlled trial of a sanitation microcredit intervention to study how intra-household gender differences in perceptions of costs and benefits of sanitation impact investment decisions. We show that – as long as the wife is involved in...

Flexible repayment schedules allow borrowers to invest in profitable yet risky projects, but practitioners fear they erode repayment morale. We study repayment choices in rigid and flexible loan contracts that allow discretion in repayment timing. To separate strategic repayment choices from...