Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field
在印度通过现金赠款实验发现，社区知识能帮助识别高增长微型企业家，但社区成员在能影响资源分配时会扭曲预测，而简单机制可激励真实报告。
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.