Artikel

Labour market integration of refugees and the importance of the neighbourhood: Norwegian quasi-experimental evidence

This paper exploits a quasi-experimental feature of the Norwegian spatial dispersal policy for UNHCR quota refugees, which leads to nearly as-if random initial residential settlement of the refugees. In this framework, we study if there are positive long-run employment consequences of being assigned to neighbourhoods with higher residential labour force participation rates. Our results show a positive and statistically significant relationship between the initial neighbourhood participation rates and refugee labour market outcomes, but these overall effects are substantively small: A one standard deviation higher participation rate in the initial neighbourhood is associated with an 1.2%-point increase in the refugees' later employment probability. However, our subgroup analysis shows substantial effects around 2.6%-points for men older than 25 years at the time of entry to Norway. In comparison, the point estimates for women and persons younger than 25 years at the time of arrival are close to zero and statistically insignificant.

Sprache
Englisch

Erschienen in
Journal: Journal for Labour Market Research ; ISSN: 2510-5027 ; Volume: 57 ; Year: 2023 ; Issue: 1 ; Pages: 1-9

Klassifikation
Wirtschaft
Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
Demographic Economics: Public Policy
Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
Thema
Refugee employment
Settlement policy
Neighbourhood
Quasi-experimental
Administrative data

Ereignis
Geistige Schöpfung
(wer)
Andersen, Henrik L.
Osland, Liv
Zhang, Meng Le
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2023

DOI
doi:10.1186/s12651-023-00341-y
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

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

Objekttyp

  • Artikel

Beteiligte

  • Andersen, Henrik L.
  • Osland, Liv
  • Zhang, Meng Le
  • Springer

Entstanden

  • 2023

Ähnliche Objekte (12)