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Contribution Details

Type Working Paper
Scope Discipline-based scholarship
Title The macroeconomics of automation: data, theory, and policy analysis
Organization Unit
Authors
  • Nir Jaimovich
  • Itay Saporta-Eksten
  • Henry Siu
  • Yaniv Yedid-Levi
Language
  • English
Institution University of Zurich
Series Name Working paper series / Department of Economics
Number 340
ISSN 1664-705X
Number of Pages 67
Date 2020
Abstract Text The U.S. economy has experienced a significant drop in the fraction of the population employed in middle wage, “routine task-intensive” occupations. Applying machine learning techniques, we identify characteristics of those who used to be employed in such occupations and show they are now less likely to work in routine occupations. Instead, they are either non-participants in the labor force or working at occupations that tend to occupy the bottom of the wage distribution. We then develop a quantitative, heterogeneous agent, general equilibrium model of labor force participation, occupational choice, and capital investment. This allows us to quantify the role of advancement in automation technology in accounting for these labor market changes. We then use this framework as a laboratory to evaluate various public policies aimed at addressing the disappearance of routine employment and its consequent impacts on inequality.
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Other Identification Number merlin-id:19208
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Keywords Polarization, automation, routine employment, labor force participation, universal basic income, unemployment insurance, retraining, Routinearbeit, Automation, Beschäftigung, Berufsplanung, Soziale Ungleichheit, USA
Additional Information Also published as IZA Discussion Paper No. 12913 (see Related URLs).