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Journal Article

New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data

Authors

  • Fossen
  • F.M.
  • Sorgner
  • A.

Publication Date

DOI

10.1016/j.techfore.2021.121381

JEL Classification

J22 J23 O33

Key Words

artificial intelligence

digitalization

employment stability

Machine Learning

unemployment

wage dynamics

Related Topics

Labor Market

Equal Opportunities

Digitalization

USA

We analyze heterogeneous effects of new digital technologies on individual-level wage and employment dynamics in the United States from 2011-2018. To this end, we employ four digital technology measures from recent literature: computerization probabilities of occupations, occupational impacts of artificial intelligence, and the suitability of tasks for machine learning and their within-occupation variance. Based on CPS and ASEC panel data, the results indicate that labor-displacing digital technologies are associated with slower wage growth and higher probabilities of switching one's occupation and becoming non-employed. In contrast, labor-reinstating digital technologies improve individual labor market outcomes. Workers with high levels of formal education are most affected by the new generation of digital technologies.

Kiel Institute Expert

  • Prof. Dr. Alina Sorgner
    Kiel Institute Researcher

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