| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP16573 |
| DP16573 Big Loans to Small Businesses: Predicting Winners and Losers in an Entrepreneurial Lending Experiment | |
| Gharad Bryan; Dean Karlan; Adam Osman | |
| 发表日期 | 2022-05-11 |
| 出版年 | 2022 |
| 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 | Development Economics ; Labour Economics |
| 关键词 | entrepreneurship Enterprise credit Heterogeneous treatment effects Psychometric data Small and medium enterprises |
| URL | https://cepr.org/publications/dp16573-0 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/546318 |
| 推荐引用方式 GB/T 7714 | Gharad Bryan,Dean Karlan,Adam Osman. DP16573 Big Loans to Small Businesses: Predicting Winners and Losers in an Entrepreneurial Lending Experiment. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
