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Daytime Locations in Spatial Mismatch: Job Accessibility and Employment at Reentry From Prison

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  • Naomi F. Sugie

    (University of California)

  • Michael C. Lens

    (University of California)

Abstract

Individuals recently released from prison confront many barriers to employment. One potential obstacle is spatial mismatch—the concentration of low-skilled, nonwhite job-seekers within central cities and the prevalence of relevant job opportunities in outlying areas. Prior research has found mixed results about the importance of residential place for reentry outcomes. In this article, we propose that residential location matters for finding work, but this largely static measure does not capture the range of geographic contexts that individuals inhabit throughout the day. We combine novel, real-time GPS information on daytime locations and self-reported employment collected from smartphones with sophisticated measures of job accessibility to test the relative importance of spatial mismatch based on residence and daytime locations. Our findings suggest that the ability of low-skilled, poor, and urban individuals to compensate for their residential deficits by traveling to job-rich areas is an overlooked and salient consideration in spatial mismatch perspectives.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:demogr:v:54:y:2017:i:2:d:10.1007_s13524-017-0549-3
    DOI: 10.1007/s13524-017-0549-3
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    Cited by:

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    2. Brian Sykes & Amanda Geller, 2017. "Mass Incarceration and the Underground Economy in America," Working Papers wp17-03-ff, Princeton University, School of Public and International Affairs, Center for Research on Child Wellbeing..
    3. Oh, Seunghoon & Chen, Na, 2022. "Do public transit and agglomeration economies collectively enhance low-skilled job accessibility in Portland, OR?," Transport Policy, Elsevier, vol. 115(C), pages 209-219.
    4. Florian Keusch & Sebastian Bähr & Georg‐Christoph Haas & Frauke Kreuter & Mark Trappmann & Stephanie Eckman, 2022. "Non‐participation in smartphone data collection using research apps," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 225-245, December.

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