Abstract
We study the effects of industrial robots on US labor markets. We show theoretically that robots may reduce employment and wages and that their local impacts can be estimated using variation in exposure to robots—defined from industry-level advances in robotics and local industry employment. We estimate robust negative effects of robots on employment and wages across commuting zones. We also show that areas most exposed to robots after 1990 do not exhibit any differential trends before then, and robots' impact is distinct from other capital and technologies. One more robot per thousand workers reduces the employment-to-population ratio by 0.2 percentage points and wages by 0.42%.
Keywords
Affiliated Institutions
Related Publications
The Effect of Minimum Wages on Low-Wage Jobs*
Abstract We estimate the effect of minimum wages on low-wage jobs using 138 prominent state-level minimum wage changes between 1979 and 2016 in the United States using a differe...
The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market
We offer a unified analysis of the growth of low-skill service occupations between 1980 and 2005 and the concurrent polarization of US employment and wages. We hypothesize that ...
Gross Job Creation, Gross Job Destruction, and Employment Reallocation
This study measures the heterogeneity of establishment-level employment changes in the U. S. manufacturing sector over the 1972 to 1986 period. We measure this heterogeneity in ...
Testing for unit roots in panel data: are wages on different bargaining levels cointegrated?
Theoritical considerations suggest that spillover forces equalize wages for similar jobs. Thus, it is expected that firm wages are cointegrated with the corresponding wage rates...
Automation and New Tasks: How Technology Displaces and Reinstates Labor
We present a framework for understanding the effects of automation and other types of technological changes on labor demand, and use it to interpret changes in US employment ove...
Publication Info
- Year
- 2019
- Type
- article
- Volume
- 128
- Issue
- 6
- Pages
- 2188-2244
- Citations
- 2846
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1086/705716