Can Information Reduce Ethnic Discrimination? Evidence from Airbnb

Author:

Laouénan Morgane1,Rathelot Roland2

Affiliation:

1. CNRS, Centre d’Economie de la Sorbonne and Sciences-Po LIEPP (email: )

2. Department of Economics, University of Warwick and CEPR (email: )

Abstract

We use data from Airbnb to identify the mechanisms underlying discrimination against ethnic minority hosts. Within the same neighborhood, hosts from minority groups charge 3.2 percent less for comparable listings. Since ratings provide guests with increasingly rich information about a listing’s quality, we can measure the contribution of statistical discrimination, building upon Altonji and Pierret (2001). We find that statistical discrimination can account for the whole ethnic price gap: ethnic gaps would disappear if all unobservables were revealed. Also, three-quarters (2.5 points) of the initial ethnic gap can be attributed to inaccurate beliefs of potential guests about hosts’ average group quality. (JEL D83, J15, L84)

Publisher

American Economic Association

Subject

General Economics, Econometrics and Finance

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