| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29364 |
| 来源ID | Working Paper 29364 |
| Automation and Racial Disparities in Small Business Lending: Evidence from the Paycheck Protection Program | |
| Sabrina T. Howell; Theresa Kuchler; David Snitkof; Johannes Stroebel; Jun Wong | |
| 发表日期 | 2021-10-11 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | By enabling smaller loans, broader geographic reach, and less human bias in decision-making, process automation may reduce racial disparities in access to financial services. We find evidence for all three channels using a setting where private lenders faced no credit risk but decided who to serve: the Paycheck Protection Program (PPP), which provided loans to small businesses during COVID-19. Black-owned firms disproportionately obtained their PPP loans from fintech lenders, especially in areas with high racial animus. After traditional banks automate their loan application processes, their PPP lending to Black-owned businesses increases. Our findings cannot be fully explained by racial differences in loan application behaviors, pre-existing banking relationships, contemporaneous firm performance, or fraud rates. |
| 主题 | Financial Economics ; Financial Institutions ; Behavioral Finance ; Labor Economics ; Demography and Aging ; COVID-19 |
| URL | https://www.nber.org/papers/w29364 |
| 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/587038 |
| 推荐引用方式 GB/T 7714 | Sabrina T. Howell,Theresa Kuchler,David Snitkof,et al. Automation and Racial Disparities in Small Business Lending: Evidence from the Paycheck Protection Program. 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 | ||
| w29364.pdf（884KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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