• Medientyp: E-Book
  • Titel: Automation and Low-Skill Labor
  • Beteiligte: Mann, Katja [Verfasser:in]; Pozzoli, Dario [Verfasser:in]
  • Erschienen: [S.l.]: SSRN, 2022
  • Erschienen in: IZA Discussion Paper ; No. 15791
  • Umfang: 1 Online-Ressource (35 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.4300800
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  • Beschreibung: Changes in the supply of low-skill labor may affect robot adoption by firms. We test this hypothesis by exploiting an exogenous increase in the local labor supply induced by a large influx of immigrants into Danish municipalities. Using the Danish employer-employee matched dataset over the period 1995-2019, we show in a shift-share regression that a larger share of migrants in a municipality leads to fewer imports of robots at the firm-level. We rationalize this finding in a simple model of robot adoption in which robots and low-skill workers are substitutes. As many advanced economies are facing labor shortages, this paper sheds light on the future of robotization
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