Spatial and Occupational Mobility of Workers Due to Automation
Michal Burzynski
No 2024-04, LISER Working Paper Series from Luxembourg Institute of Socio-Economic Research (LISER)
Abstract:
Automation of labor tasks is one of the most dynamic aspects of recent technological progress. This paper aims at improving our understanding of the way that automation affects labor markets, analyzing the example of European countries. The quantitative theoretical methodology proposed in this paper allows to focus on automation-induced migration of workers, occupation switching and income inequality. The key findings include that automation in the first two decades of the 21st century had a significant impact on job upgrading of native workers and generated gains in many local labor markets. Even though net migration of workers was attenuated due to convergence in incomes across European regions, mobility at occupation levels had a sizeable impact on transmitting welfare effects of automation.
Keywords: automation; migration; technological progress; inequality (search for similar items in EconPapers)
JEL-codes: J24 O33 R12 (search for similar items in EconPapers)
Pages: 52 pages
Date: 2024-07
New Economics Papers: this item is included in nep-geo, nep-lma, nep-mig, nep-tid and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:irs:cepswp:2024-04
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