| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w22512 |
| 来源ID | Working Paper 22512 |
| Augmenting the Human Capital Earnings Equation with Measures of Where People Work | |
| Erling Barth; James Davis; Richard B. Freeman | |
| 发表日期 | 2016-08-22 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | We augment standard ln earnings equations with variables reflecting unmeasured attributes of workers and measured and unmeasured attributes of their employer. Using panel employee-establishment data for US manufacturing we find that the observable employer characteristics that most impact earnings are: number of workers, education of co-workers, capital equipment per worker, industry in which the establishment produces, and R&D intensity of the firm. Employer fixed effects also contribute to the variance of ln earnings, though substantially less than individual fixed effects. In addition to accounting for some of the variance in earnings, the observed and unobserved measures of employers mediate the estimated effects of individual characteristics on earnings and increasing earnings inequality through the sorting of workers among establishments. |
| 主题 | Labor Economics ; Labor Supply and Demand ; Labor Compensation ; Labor Market Structures |
| URL | https://www.nber.org/papers/w22512 |
| 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/580186 |
| 推荐引用方式 GB/T 7714 | Erling Barth,James Davis,Richard B. Freeman. Augmenting the Human Capital Earnings Equation with Measures of Where People Work. 2016. |
| 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 | ||
| w22512.pdf（285KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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。
