The impact of robots on labour market transitions in Europe

Ronald Bachmann, Myrielle Gonschor, Piotr Lewandowski and Karol Madoń

No 933, Ruhr Economic Papers from RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen

Abstract: We study the effects of robot exposure on worker flows in 16 European countries. Overall, we find small negative effects on job separations and small positive effects on job findings. Labour costs are shown to be a major driver of cross-country differences: the effects of robot exposure are generally larger in absolute terms in countries with low or average levels of labour costs than in countries with high levels of labour costs. These effects were particularly pronounced for workers in occupations intensive in routine manual or routine cognitive tasks, but were insignificant in occupations intensive in non-routine cognitive tasks. For young and old workers in countries with lower labour costs, robot exposure had a beneficial effect on transitions. Our results imply that robot adoption increased employment and reduced unemployment most in the European countries with low or average levels of labour costs.

Keywords: Robots; technological change; tasks; labour market effects; Europe (search for similar items in EconPapers)
JEL-codes: J23 J24 O33 (search for similar items in EconPapers)
Date: 2022, Revised 2022
New Economics Papers: this item is included in nep-eur, nep-lma and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Related works:
Journal Article: The impact of Robots on Labour market transitions in Europe (2024)
Working Paper: The Impact of Robots on Labour Market Transitions in Europe (2022)
Working Paper: The Impact of Robots on Labour Market Transitions in Europe (2022)
Working Paper: The impact of robots on labour market transitions in Europe (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:rwirep:933

DOI: 10.4419/96973093

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