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Immigration, Housing Discrimination and Employment

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  • Tito Boeri
  • Marta De Philippis
  • Eleonora Patacchini
  • Michele Pellizzari

Abstract

We use a new data set on Italy and a novel identification strategy to analyse the relationship between migrants’ employment status and the percentage of non†Italians 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.

Suggested Citation

  • Tito Boeri & Marta De Philippis & Eleonora Patacchini & Michele Pellizzari, 2015. "Immigration, Housing Discrimination and Employment," Economic Journal, Royal Economic Society, vol. 125(586), pages 82-114, August.
  • Handle: RePEc:wly:econjl:v:125:y:2015:i:586:p:f82-f114
    DOI: 10.1111/ecoj.12232
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    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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