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Cited by 211

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Do the Poor Pay More for Housing? Exploitation, Profit, and Risk in Rental Markets

Open access
Desmond, Matthew, Wilmers, Nathan·2019·American Journal of Sociology

Abstract

This article examines tenant exploitation and landlord profit margins within residential rental markets. Defining exploitation as being overcharged relative to the market value of a property, the authors find exploitation of tenants to be highest in poor neighborhoods. Landlords in poor neighborhoods also extract higher profits from housing units. Property values and tax burdens are considerably lower in depressed residential areas, but rents are not. Because landlords operating in poor communities face more risks, they hedge their position by raising rents on all tenants, carrying the weight of social structure into price. Since losses are rare, landlords typically realize the surplus risk charge as higher profits. Promoting a relational approach to the analysis of inequality, this study demonstrates how the market strategies of landlords contribute to high rent burdens in low-income neighborhoods.

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Crossref · 10.1086/701697

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Metadata

Authors
Desmond, M., & Wilmers, N.
Venue
American Journal of Sociology
Published
2019-01
Volume
124
Issue
4
Pages
1090-1124
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W2919913857
Cited by
211
References
1
FWCI
24.31
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Do the Poor Pay More for Housing? Exploitation, Profit, and Risk in Rental Markets. https://app.cochat.ai/papers/10.1086/701697
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Desmond, M., & Wilmers, N. (2019). Do the Poor Pay More for Housing? Exploitation, Profit, and Risk in Rental Markets. American Journal of Sociology. https://doi.org/10.1086/701697

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.