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Employment Accessibility Among Housing Subsidy Recipients

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  • Michael Lens

Abstract

This article estimates the extent to which different types of subsidized households live near employment, measuring the extent of spatial mismatch between these households and employment. Using census tract-level data from the U.S. Department of Housing and Urban Development on housing subsidy locations and employment data from the U.S. Census Bureau, this article uses a distance-decay function to estimate job-accessibility indices for census tracts in metropolitan statistical areas with 100,000 people or more. I use these data to create weighted job-accessibility indices for housing subsidy recipients (public housing, Low-Income Housing Tax Credit, Section 8 New Construction, and housing voucher households) and the total population and renter households earning below 50% of area median income as points of comparison. I find that of all these groups, by a large margin, public housing households live in census tracts with the greatest proximity to low-skilled jobs. However, they also live among the greatest concentration of individuals who compete for those jobs, namely, the low-skilled unemployed. These findings suggest that we pay close attention to the trade-offs that public housing residents are making as these units are demolished and replaced with vouchers.

Suggested Citation

  • Michael Lens, 2014. "Employment Accessibility Among Housing Subsidy Recipients," Housing Policy Debate, Taylor & Francis Journals, vol. 24(4), pages 671-691, October.
    • Handle: RePEc:taf:houspd:v:24:y:2014:i:4:p:671-691
    DOI: 10.1080/10511482.2014.905966
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    Cited by:

    1. Naomi F. Sugie & Michael C. Lens, 2017. "Daytime Locations in Spatial Mismatch: Job Accessibility and Employment at Reentry From Prison," Demography, Springer;Population Association of America (PAA), vol. 54(2), pages 775-800, April.
    2. Lingqian Hu, 2017. "Job accessibility and employment outcomes: which income groups benefit the most?," Transportation, Springer, vol. 44(6), pages 1421-1443, November.
    3. Jiajia Wei & Qiyan Wang & Wang Gao, 2022. "How Commuting Time Affects Employees’ Income in China’s Urbanization Process," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    4. John C. Haltiwanger & Mark J. Kutzbach & Giordano Palloni & Henry O. Pollakowski & Matthew Staiger & Daniel H. Weinberg, 2020. "The Children of HOPE VI Demolitions: National Evidence on Labor Market Outcomes," Working Papers 20-39, Center for Economic Studies, U.S. Census Bureau.
    5. Kirk McClure, 2015. "The Future of Research on Assisted Housing for the Poor," Housing Policy Debate, Taylor & Francis Journals, vol. 25(4), pages 802-805, October.
    6. Merlin, Louis A. & Hu, Lingqian, 2017. "Does competition matter in measures of job accessibility? Explaining employment in Los Angeles," Journal of Transport Geography, Elsevier, vol. 64(C), pages 77-88.

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