Affiliation:
1. Washington University in St. Louis, USA
2. University of Oklahoma, USA
3. University of Wisconsin-Madison, USA
Abstract
In this article we examine how the online rental housing market reflects the desirability of different neighbourhoods in St. Louis, MO, a metropolitan area with long-standing high levels of Black–White residential segregation. Using a large digital corpus of advertisements for rental housing, we first show that adverts in neighbourhoods with more Black residents are less likely to list a neighbourhood name than adverts for available housing units in neighbourhoods with more White residents. Advertisements for housing in neighbourhoods with more Black residents are also more likely to list a different, higher-income neighbourhood name than the one in which they are located. Next, using a survey of St. Louis residents, we find that neighbourhoods with more Black residents are perceived as less desirable by both White and Black St. Louisans. We then employ a pair of survey experiments and find that interest in renting a particular housing unit changes if the advert does not list a neighbourhood name or uses a different neighbourhood name than one commonly associated with its location. Altogether, our findings reveal that postings in online housing markets reflect and reproduce existing racial-spatial patterns and may contribute to the avoidance/stigmatisation of certain neighbourhoods.
Subject
Urban Studies,Environmental Science (miscellaneous)
Cited by
1 articles.
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