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Title: Automation and Immigrants: Evidence from Local Labour Markets

Citation Type: Miscellaneous

Publication Year: 2023

Abstract: This paper examines the impact of automation on employment, wages, and migration of both native-born and foreign-born individuals. Employing an instrumental variable strategy that leverages variations in local industry employment shares and industry-level national robot adoption, we find that automation equally reduced the employment and wages of foreign-and native-born workers across US commuting zones. Robot adoption induced higher migration in immigrants than in native-born individuals, with immigrants' movements accounting for 19% of the employment difference between high and low robot-exposed commuting zones. We also find that immigrant mobility did not reduce the incidence of automation on native-born workers' employment or wages, such that the impact of automation on native-born workers is similar in high and low immigrant areas.

Url: https://anandchopra13.github.io/jm/robots_immigration.pdf

User Submitted?: No

Authors: Bhaskar, Gopal; Chopra, Anand; Mukherji, Ronit

Publisher:

Data Collections: IPUMS USA

Topics: Labor Force and Occupational Structure, Migration and Immigration, Work, Family, and Time

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop