American Economic Journal: Applied Economics · 2022 · Morgane Laouénan、Roland Rathelot
中文摘要
我们使用 Airbnb 的数据来识别针对少数族裔房东的歧视背后的机制。在同一社区内，来自少数族裔群体的房东对可比房源收取的价格低 3.2%。由于评分向房客提供了关于房源质量日益丰富的信息，我们得以在 Altonji 和 Pierret（2001）的基础上测度统计性歧视的贡献。我们发现，统计性歧视能够解释全部的族裔价格差距：如果所有不可观测因素都被揭示，族裔差距将会消失。此外，初始族裔差距的四分之三（2.5 个百分点）可归因于潜在房客对房东所属群体平均质量的不准确信念。（JEL D83, J15, L84）
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)