Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/305817 
Erscheinungsjahr: 
2022
Quellenangabe: 
[Journal:] Journal of Evolutionary Economics [ISSN:] 1432-1386 [Volume:] 33 [Issue:] 1 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2022 [Pages:] 35-63
Verlag: 
Springer, Berlin, Heidelberg
Zusammenfassung: 
The advent of artificial intelligence is changing the task allocation of workers and machines in firms' production processes with potentially wide ranging effects on workers and firms. We develop an agent-based simulation framework to investigate the consequences of different types of automation for industry output, the wage distribution, the labor share, and industry dynamics. It is shown how the competitiveness of markets, in particular barriers to entry, changes the effects that automation has on various outcome variables, and to which extent heterogeneous workers with distinct general skill endowments and heterogeneous firms featuring distinct wage offer rules affect the channels via which automation changes market outcomes.
Schlagwörter: 
Automation
Artificial intelligence
Tasks
Wage inequality
Firm dynamics
JEL: 
C63
L10
J31,O33
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
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Dokumentart: 
Article
Dokumentversion: 
Published Version

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