G2TT
来源类型Discussion paper
规范类型论文
来源IDDP17167
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
URLhttps://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。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Marco Pagano]的文章
[Luca Coraggio]的文章
[Annalisa Scognamiglio]的文章
百度学术
百度学术中相似的文章
[Marco Pagano]的文章
[Luca Coraggio]的文章
[Annalisa Scognamiglio]的文章
必应学术
必应学术中相似的文章
[Marco Pagano]的文章
[Luca Coraggio]的文章
[Annalisa Scognamiglio]的文章
相关权益政策
暂无数据
收藏/分享

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。