Data and Code for: Can Information Reduce Ethnic Discrimination? Evidence from Airbnb
Principal Investigator(s): View help for Principal Investigator(s) Morgane Laouenan, University Paris 1; Roland Rathelot, University of Warwick
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
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| code | 01/29/2021 03:08:AM | ||
| data | 11/23/2020 03:36:AM | ||
| results | 11/23/2020 03:14:AM | ||
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application/pdf | 72.6 KB | 01/28/2021 10:16:PM |
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application/octet-stream | 01/28/2021 10:16:PM |
Project Citation:
Laouenan, Morgane, and Rathelot, Roland. Data and Code for: Can Information Reduce Ethnic Discrimination? Evidence from Airbnb. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-12-17. https://doi.org/10.3886/E120078V1
Project Description
Summary:
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We use data from Airbnb to identify the mechanisms underlying discrimination against ethnic-minority hosts. Within the same neighbourhood, hosts from minority groups charge 3.2% 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 by potential guests about hosts' average group quality.
Scope of Project
Subject Terms:
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ethnic discrimination;
statistical discrimination;
rental market;
inaccurate beliefs;
online markets
JEL Classification:
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J15 Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
L85 Real Estate Services
J15 Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
L85 Real Estate Services
Geographic Coverage:
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Amsterdam, Barcelona, Berlin, Boston, Chicago, Florence, London, Los Angeles, Madrid, Marseille, Miami, Milan, Montreal, New York City, Paris, Rome, San Francisco, Toronto, Vancouver
Time Period(s):
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6/2014 – 11/2017
Collection Date(s):
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6/2014 – 11/2017
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