The Neighbor is King: Customer Discrimination in the Housing Market

Working Paper: CEPR ID: DP9160

Authors: Pierre-Philippe Combes; Bruno Decreuse; Benot Schmutz; Alain Trannoy

Abstract: This paper provides a method to single out customer-based discrimination in the housing market. We build a matching model with ethnic externalities where landlords differ in the number of housing units they own within the same building. Multiple-dwelling landlords discriminate more often than single-dwelling landlords only if some tenants are prejudiced against the minority group. By testing the null hypothesis whereby minority tenants are equally likely to have a multiple-dwelling landlord, we can test whether there is customer discrimination or not. We run the test on French data and show evidence of customer discrimination in the rental market.

Keywords: Customer discrimination; Housing market; Matching frictions; Neighborhood externalities

JEL Codes: J71; R21


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
number of housing units owned by landlords (R21)likelihood to discriminate against minority tenants (J15)
multiple-dwelling landlords (R21)likelihood to discriminate against black tenants (J71)
presence of prejudiced white tenants (R21)likelihood to discriminate against black tenants (J71)
non-European origin (F29)likelihood of having a multiple-dwelling landlord (R21)

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