| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w23240 |
| 来源ID | Working Paper 23240 |
| Worker Overconfidence: Field Evidence and Implications for Employee Turnover and Returns from Training | |
| Mitchell Hoffman; Stephen V. Burks | |
| 发表日期 | 2017-03-13 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | Combining weekly productivity data with weekly productivity beliefs for a large sample of truckers over two years, we show that workers tend to systematically and persistently over-predict their productivity. If workers are overconfident about their own productivity at the current firm relative to their outside option, they should be less likely to quit. Empirically, all else equal, having higher productivity beliefs is associated with an employee being less likely to quit. To study the implications of overconfidence for worker welfare and firm profits, we estimate a structural learning model with biased beliefs that accounts for many key features of the data. While worker overconfidence moderately decreases worker welfare, it also substantially increases firm profits. This may be critical for firms (such as the main one we study) that make large initial investments in worker training. |
| 主题 | Microeconomics ; Behavioral Economics ; Labor Economics ; Labor Supply and Demand ; Labor Market Structures ; Other ; Accounting, Marketing, and Personnel |
| URL | https://www.nber.org/papers/w23240 |
| 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/580914 |
| 推荐引用方式 GB/T 7714 | Mitchell Hoffman,Stephen V. Burks. Worker Overconfidence: Field Evidence and Implications for Employee Turnover and Returns from Training. 2017. |
| 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 | ||
| w23240.pdf（292KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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