Arbeitspapier

The labor market effects of restricting refugees' employment opportunities

Refugees, and immigrants more generally, often do not have access to all jobs in the labor market. We argue that restrictions on employment opportunities help explain why immigrants have lower employment and wages than native citizens. To test this hypothesis, we leverage refugees' exogenous geographic assignment in Switzerland, within-canton variation in labor market restrictions, and linked register data 1999-2016. We document large negative employment and earnings effects of banning refugees from working in the first months after arrival, from working in certain sectors and regions, and from prioritizing residents over refugees. Consistent with an effect of outside options on wages, removing 10% of jobs reduces refugees' hourly wages by 2.8% and increases the wage gap to similar host-country citizens in similar jobs by 2.2%. Furthermore, we show that restrictions reduce refugees' earnings even after they cease applying. Restrictions do not spur refugee emigration nor improve earnings of non-refugee immigrants.

Sprache
Englisch

Erschienen in
Series: KOF Working Papers ; No. 510

Klassifikation
Wirtschaft
Labor Economics Policies
Wage Level and Structure; Wage Differentials
Monopsony; Segmented Labor Markets
Geographic Labor Mobility; Immigrant Workers
Mobility, Unemployment, and Vacancies: Public Policy
Thema
Labor market integration
migration
labor market policies
labor market institutions
monopsony
refugees
employment
wages
outside options
employment opportunities

Ereignis
Geistige Schöpfung
(wer)
Ahrens, Achim
Beerli, Andreas
Hangartner, Dominik
Kurer, Selina
Siegenthaler, Michael
Ereignis
Veröffentlichung
(wer)
ETH Zurich, KOF Swiss Economic Institute
(wo)
Zurich
(wann)
2023

DOI
doi:10.3929/ethz-b-000595935
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Ahrens, Achim
  • Beerli, Andreas
  • Hangartner, Dominik
  • Kurer, Selina
  • Siegenthaler, Michael
  • ETH Zurich, KOF Swiss Economic Institute

Entstanden

  • 2023

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