Quotation Cords, Dario, Prettner, Klaus. 2021. Technological unemployment revisited: automation in a search and matching framework. Oxford Economics Papers. (22)


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Abstract

Will automation raise unemployment and what is the role of education in this context? To answer these questions, we propose a search and matching model of the labour market with two skill types and with industrial robots. In line with evidence to date, robots are better substitutes for low-skilled workers than for high-skilled workers. We show that robot adoption leads to rising unemployment and falling wages of low-skilled workers and falling unemployment and rising wages of high-skilled workers. In a calibration to Austrian and German data, we find that robot adoption destroys fewer low-skilled jobs than the number of high-skilled jobs it creates. For Australia and the USA, the reverse holds true. Allowing for endogenous skill acquisition of workers implies positive employment effects of automation in all four countries. Thus, the firm creation mechanism in the search and matching model and skill acquisition are alleviating the adverse effects of automation.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Oxford Economics Papers
Citation Index SSCI
WU-Journal-Rating new WH-B
Language English
Title Technological unemployment revisited: automation in a search and matching framework
Number 22
Year 2021
Reviewed? Y
URL https://academic.oup.com/oep/advance-article-abstract/doi/10.1093/oep/gpab022/6301191?redirectedFrom=fulltext
DOI https://doi.org/10.1093/oep/gpab022
Open Access N

Associations

People
Prettner, Klaus (Details)
External
Cords, Dario (University of Hohenheim, Germany)
Organization
Department of Economics (Crespo Cuaresma) (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
5343 Economic theory (Details)
5371 Macroeconomics (Details)
5404 Demography (Details)
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