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Labour Economics
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Labour Economics
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Article . 2017 . Peer-reviewed
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Research . 2017
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Linguistic Distance, Networks and Migrants' Regional Location Choice

Authors: Julia Bredtmann; Klaus Nowotny; Sebastian Otten;

Linguistic Distance, Networks and Migrants' Regional Location Choice

Abstract

Abstract This paper analyzes the location choice of migrants at the regional level. We test the hypothesis that networks and the ability to communicate in the host country language, as proxied by linguistic distance, are substitutes in the location decision. Based on individual-level data from a special evaluation of the European Labour Force Survey (EU-LFS) and a random utility maximization framework, we find that networks have a positive effect on the location decisions while the effect of linguistic distance is negative. We also find a strong positive interaction effect between the two factors: networks are more important the larger the linguistic distance between the home country and the host region, and the negative effect of linguistic distance is smaller the larger the network size. In several extensions and robustness checks, we show that this substitutable relationship is extremely robust. Especially, we demonstrate that our results are not biased by multilateral resistance to migration.

Keywords

EU migration, ddc:330, Location choice, multilateral resistance, Wirtschaftswissenschaften, R23, ethnic networks, linguistic distance, J61, F22, location choice

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
bronze