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Titel
New digital technologies and heterogeneous employment and wage dynamics in the United States: evidence from individual-level data / Frank M. Fossen (University of Nevada and IZA), Alina Sorgner (John Cabot University Rome, Kiel Institute for the World Economy and IZA) ; IZA Institute of Labor Economics
VerfasserFossen, Frank M. ; Sorgner, Alina
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, March 2019
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Elektronische Ressource
Umfang1 Online-Ressource (46 Seiten) : Diagramme
SerieDiscussion paper ; no. 12242
URNurn:nbn:de:hbz:5:2-185937 
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 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
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New digital technologies and heterogeneous employment and wage dynamics in the United States: evidence from individual-level data [1.16 mb]
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Zusammenfassung (Englisch)

We investigate heterogeneous effects of new digital technologies on the individual-level employment- and wage dynamics in the U.S. labor market in the period from 2011- 2018. We employ three measures that reflect different aspects of impacts of new digital technologies on occupations. The first measure, as developed by Frey and Osborne (2017), assesses the computerization risk of occupations, the second measure, developed by Felten et al. (2018), provides an estimate of recent advances in artificial intelligence (AI), and the third measure assesses the suitability of occupations for machine learning (Brynjolfsson et al., 2018), which is a subfield of AI. Our empirical analysis is based on large representative panel data, the matched monthly Current Population Survey (CPS) and its Annual Social and Economic Supplement (ASEC). The results suggest that the effects of new digital technologies on employment stability and wage growth are already observable at the individual level. High computerization risk is associated with a high likelihood of switching ones occupation or becoming non-employed, as well as a decrease in wage growth. However, advances in AI are likely to improve an individuals job stability and wage growth. We further document that the effects are heterogeneous. In particular, individuals with high levels of formal education and older workers are most affected by new digital technologies.