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Discrimination in the Austrian Rental Housing Market: The Effect of Information Concerning First and Second-Generation Immigrant Status

Author

Listed:
  • Weichselbaumer, Doris

    (University of Linz)

  • Riess, Hermann

    (Johannes Kepler University Linz)

Abstract

In this study, we conduct an email correspondence test to examine ethnic discrimination against males with different immigration backgrounds (Serbian, Turkish/Muslim and Syrian/Muslim) in the Austrian rental housing market. In particular, we investigate the effect that immigrant generation has on callback chances. Property owners may perceive more recent immigrants as particularly "other" and fear that they will not be good tenants because, for example, they treat a property in an undesirable manner. We compare landlords' replies to inquiries from immigrants of the first, first and a half, and second generation to those who do not provide respective information about their immigration background. We find substantial levels of ethnic discrimination, which - in the case that no information on immigrant generation is provided - is highest for applicants with a Syrian name, followed by those bearing a Turkish and Serbian name. When applicants specify their place of birth and upbringing, callback rates are highest for second generation immigrants and lowest for first generation immigrants. This suggests advantages for more acculturated applicants. Accommodation seekers with a Syrian name, who may otherwise be perceived as refugees, benefit the most from stating that they were born in Austria.

Suggested Citation

  • Weichselbaumer, Doris & Riess, Hermann, 2024. "Discrimination in the Austrian Rental Housing Market: The Effect of Information Concerning First and Second-Generation Immigrant Status," IZA Discussion Papers 17403, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp17403
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    References listed on IDEAS

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    More about this item

    Keywords

    ethnic discrimination; housing market; email correspondence experiment;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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