We use a new dataset on Italy and a novel identification strategy to analyse the relationship between migrants’ employment status and the percentage of non-Italian living nearby. Our data contain information at the very local level and are representative of both legal and illegal migrants. Identification exploits the physical characteristics of local buildings as a source of exogenous variation in the incidence of migrants. We find that migrants residing in more immigrant-dense areas are less likely to be employed. This penalty is higher if the migrants leaving nearby are illegal and it is not mitigated if they are from own ethnic group or more proficient in Italian.

Immigration, housing discrimination and employment

BOERI, TITO MICHELE;PELLIZZARI, MICHELE
2015

Abstract

We use a new dataset on Italy and a novel identification strategy to analyse the relationship between migrants’ employment status and the percentage of non-Italian living nearby. Our data contain information at the very local level and are representative of both legal and illegal migrants. Identification exploits the physical characteristics of local buildings as a source of exogenous variation in the incidence of migrants. We find that migrants residing in more immigrant-dense areas are less likely to be employed. This penalty is higher if the migrants leaving nearby are illegal and it is not mitigated if they are from own ethnic group or more proficient in Italian.
2015
2015
Boeri, TITO MICHELE; De Philippis, Marta; Patacchini, Eleonora; Pellizzari, Michele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11565/3936918
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