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. (JEL D82, G21, I38, L25, L26, O12, O16)

中文翻译：

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利用社区信息瞄准高能力企业家：现场机制设计

由于缺乏可验证的信息，在低收入国家识别高增长的微型企业家仍然是一项挑战。通过在印度进行的现金赠款实验，我们证明了社区知识可以帮助瞄准高增长的微型企业家；虽然我们样本中的平均资本边际回报率为每月 9.4%，但据估计，社区前三分之一的微型企业家的资本边际回报率在 24% 至 30% 之间。此外，我们发现有证据表明社区成员在影响资源分配时会扭曲他们的预测。最后，我们证明了简单的机制可以重新调整真实报告的激励机制。（JEL D82、G21、I38、L25、L26、O12、O16）