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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w29311 |
来源ID | Working Paper 29311 |
Big Loans to Small Businesses: Predicting Winners and Losers in an Entrepreneurial Lending Experiment | |
Gharad T. Bryan; Dean Karlan; Adam Osman | |
发表日期 | 2021-09-27 |
出版年 | 2021 |
语种 | 英语 |
摘要 | We experimentally study the impact of substantially larger enterprise loans in Egypt. Larger loans generate small average impacts, but machine learning using psychometric data reveals that ”top-performers” (those with the highest predicted treatment effects) substantially increase profits, while profits drop for poor-performers. The large differences imply that lender credit allocation decisions matter for aggregate income, yet we find that existing practice leads to substantial misallocation. We argue that some entrepreneurs are over-optimistic and squander the opportunities presented by larger loans by taking on too much risk, and show the promise of allocations based on entrepreneurial type relative to firm characteristics. |
主题 | Microeconomics ; Households and Firms ; Industrial Organization ; Firm Behavior ; Other ; Accounting, Marketing, and Personnel ; Development and Growth ; Development |
URL | https://www.nber.org/papers/w29311 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/586984 |
推荐引用方式 GB/T 7714 | Gharad T. Bryan,Dean Karlan,Adam Osman. Big Loans to Small Businesses: Predicting Winners and Losers in an Entrepreneurial Lending Experiment. 2021. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w29311.pdf(1947KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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