Andersen, H.L. orcid.org/0000-0002-4152-1705, Osland, L. and Zhang, M.L. orcid.org/0000-0002-7609-7457 (2023) Labour market integration of refugees and the importance of the neighbourhood: Norwegian quasi-experimental evidence. Journal for Labour Market Research, 57 (1). 16. ISSN 2510-5027
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Refugee employment; Settlement policy; Neighbourhood; Quasi-experimental; Administrative data |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Jun 2023 11:16 |
Last Modified: | 06 Jun 2023 11:16 |
Status: | Published |
Publisher: | Springer Science and Business Media LLC |
Identification Number: | 10.1186/s12651-023-00341-y |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:199754 |