全球智库信息集成服务系统(G2TT): DP17451 Robot Adoption, Worker-Firm Sorting and Wage Inequality: Evidence from Administrative Panel Data

G2TT

来源类型	Discussion paper
规范类型	论文
来源ID	DP17451
	DP17451 Robot Adoption, Worker-Firm Sorting and Wage Inequality: Evidence from Administrative Panel Data
	Ester Faia; Gianmarco Ottaviano; Saverio Spinella
发表日期	2022-07-08
出版年	2022
语种	英语
摘要	Leveraging the geographic dimension of a large administrative panel on employer- employee contracts, we study the impact of robot adoption on wage inequality through changes in worker-firm assortativity. Using recently developed methods to correctly and robustly estimate worker and firm unobserved characteristics, we find that robot adoption increases wage inequality by fostering both horizontal and vertical task specialization across firms. In local economies where robot penetration has been more pronounced, workers performing similar tasks have disproportionately clustered in the same firms (‘segregation’). Moreover, such clustering has been characterized by the concentration of higher earners performing more complex tasks in firms paying higher wages (‘sorting’). These firms are more productive and poach more aggressively. We rationalize these findings through a simple extension of a well-established class of models with two-sided heterogeneity, on-the-job search, rent sharing and employee Bertrand poaching. We conclude that our empirical findings reveal the presence of both ‘routine-biased technological change’ (RBTC), whereby new technology decreases the relative demand for workers in traditional routine tasks, and ‘core-biased technological change’ (CBTC), whereby new technology requires workers with specialized knowledge independently of their tasks being more or less routine intensive.
主题	Labour Economics ; Macroeconomics and Growth
关键词	Core-task biased technological change Sorting Between and within wage inequality Finite mixture models Technology adoption robots Shift-shares Assortative matching Bertrand poaching
URL	https://cepr.org/publications/dp17451
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/546541
推荐引用方式 GB/T 7714	Ester Faia,Gianmarco Ottaviano,Saverio Spinella. DP17451 Robot Adoption, Worker-Firm Sorting and Wage Inequality: Evidence from Administrative Panel Data. 2022.