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Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model

Dawid, Herbert ; Neugart, Michael (2023)
Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model.
In: Journal of Evolutionary Economics, 33 (1)
doi: 10.1007/s00191-022-00803-5
Artikel, Bibliographie

Dies ist die neueste Version dieses Eintrags.

Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2023
Autor(en): Dawid, Herbert ; Neugart, Michael
Art des Eintrags: Bibliographie
Titel: Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model
Sprache: Englisch
Publikationsjahr: 2023
Verlag: Springer
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Journal of Evolutionary Economics
Jahrgang/Volume einer Zeitschrift: 33
(Heft-)Nummer: 1
DOI: 10.1007/s00191-022-00803-5
URL / URN: https://link.springer.com/article/10.1007/s00191-022-00803-5...
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Kurzbeschreibung (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.

Freie Schlagworte: Automation, Artificial intelligence, Tasks, Wage inequality, Firm dynamics
Zusätzliche Informationen:

JEL Classification: C63, L10, J31, O33

Fachbereich(e)/-gebiet(e): 01 Fachbereich Rechts- und Wirtschaftswissenschaften
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete > Fachgebiet Finanzwissenschaft und Wirtschaftspolitik
Hinterlegungsdatum: 05 Jan 2023 13:06
Letzte Änderung: 25 Jul 2024 15:47
PPN: 505547406
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