First Time Around: Local Conditions and Multi-dimensional Integration of Refugees

Cevat Giray Aksoy, Panu Poutvaara and Felicitas Schikora

No 361, ifo Working Paper Series from ifo Institute - Leibniz Institute for Economic Research at the University of Munich

Abstract: We study the causal effect of local unemployment and attitudes towards immigrants at the time of arrival on refugees’ multi-dimensional integration outcomes. We leverage a centralized allocation policy in Germany where refugees were exogenously assigned to live in specific counties. Both high unemployment and negative attitudes hurt refugees’ economic and social integration, independently of each other. A onestandard-deviation increase in unemployment or in negative sentiment index based on geo-coded tweets in 2014 predicts five percentage points lower probability of refugees being employed in 2016 to 2018. The estimated negative effects of far-right vote share are qualitatively similar.

Keywords: International migration; refugees; integration; allocation policy; far-right voting; negative sentiment (search for similar items in EconPapers)
JEL-codes: F22 J15 J24 (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-eur and nep-ure
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Related works:
Journal Article: First time around: Local conditions and multi-dimensional integration of refugees (2023)
Working Paper: First Time Around: Local Conditions and Multi-Dimensional Integration of Refugees (2020)
Working Paper: First Time Around: Local Conditions and Multi-dimensional Integration of Refugees (2020)
Working Paper: First Time Around: Local Conditions and Multi-dimensional Integration of Refugees (2020)
Working Paper: First Time around: Local Conditions and Multi-Dimensional Integration of Refugees (2020)
Working Paper: First Time Around: Local Conditions and Multi-dimensional Integration of Refugees (2020)
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