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American Economic Review Vol. 112 No. 3 2022

Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field

Reshmaan Hussam; Natalia Rigol; Benjamin Roth

Harvard Business School (email: )

Abstract

Identifying high-growth microentrepreneurs in low-income countries remains a challenge due to a scarcity of verifiable information. With a cash grant experiment in India we demonstrate that community knowledge can help target high-growth microentrepreneurs; while the average marginal return to capital in our sample is 9.4 percent per month, microentrepreneurs reported in the top third of the community are estimated to have marginal returns to capital between 24 percent and 30 percent per month. Further we find evidence that community members distort their predictions when they can influence the distribution of resources. Finally, we demonstrate that simple mechanisms can realign incentives for truthful reporting.

DOI
10.1257/aer.20200751
Volume
112
Issue
3
Pages
861-898
Language
en
Sources
openalex bibtex:phds-export.bib crossref

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