| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP17167 |
| DP17167 JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality | |
| Marco Pagano; Luca Coraggio; Annalisa Scognamiglio; Joacim Tåg | |
| 发表日期 | 2022-04-01 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | Does the matching between workers and jobs help explain productivity differentials across firms? To address this question we develop a job-worker allocation quality measure (JAQ) by combining employer-employee administrative data with machine learning techniques. The proposed measure is positively and significantly associated with labor earnings over workers' careers. At firm level, it features a robust positive correlation with firm productivity, and with managerial turnover leading to an improvement in the quality and experience of management. JAQ can be constructed for any employer-employee data including workers' occupations, and used to explore the effect of corporate restructuring on workers' allocation and careers. |
| 主题 | Financial Economics ; Labour Economics |
| 关键词 | Jobs Workers Matching Mismatch Machine learning Productivity Management |
| URL | https://cepr.org/publications/dp17167 |
| 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/546160 |
| 推荐引用方式 GB/T 7714 | Marco Pagano,Luca Coraggio,Annalisa Scognamiglio,et al. DP17167 JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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