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Using a unique data set of millions of advertisements for rental housing and data on the geographic distribution of housing voucher holders, we examine the limits of housing market policies that rely on private-market landlords to meet public needs. We find that although advertised affordable housing is more prevalent in some zip codes than others, voucher households are more geographically clustered than affordable housing. Moreover, voucher holders are overly concentrated in “lower opportunity” zip codes, those with fewer resources for children’s well-being, despite the advertisement of affordable housing in higher opportunity neighborhoods. Using text-analysis techniques, we identify advertisements that explicitly accept or reject voucher holders and find that ads seeking voucher-holding tenants are overrepresented in lower opportunity neighborhoods. We evaluate the significance of these findings for theories of predatory inclusion.
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The Unequal Availability of Rental Housing Information Across Neighborhoods
Abstract As more urban residents find their housing through online search tools, recent research has theorized the potential for online information to transform and equalize the housing search process. Yet, very little is known about what rental housing information is available online. Using a corpus of millions of geocoded Craigslist advertisements for rental housing across the 50 largest metropolitan statistical areas in the United States merged with census tract–level data from the American Community Survey, we identify and describe the types of information commonly included in listings across different types of neighborhoods. We find that in the online housing market, renters are exposed to fundamentally different types of information depending on the ethnoracial and socioeconomic makeup of the neighborhoods where they are searching.
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- Award ID(s):
- 1947591
- PAR ID:
- 10304328
- Date Published:
- Journal Name:
- Demography
- Volume:
- 58
- Issue:
- 4
- ISSN:
- 0070-3370
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript
- Journal Article:
- https://doi.org/10.1215/00703370-9357518
