Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/305817 
Year of Publication: 
2022
Citation: 
[Journal:] Journal of Evolutionary Economics [ISSN:] 1432-1386 [Volume:] 33 [Issue:] 1 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2022 [Pages:] 35-63
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
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.
Subjects: 
Automation
Artificial intelligence
Tasks
Wage inequality
Firm dynamics
JEL: 
C63
L10
J31,O33
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.