Daytime Locations in Spatial Mismatch: Job Accessibility and Employment at Reentry From Prison
Naomi F. Sugie () and
Michael C. Lens
Additional contact information
Naomi F. Sugie: University of California
Michael C. Lens: University of California
Demography, 2017, vol. 54, issue 2, No 15, 775-800
Abstract:
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.
Keywords: Spatial mismatch; Reentry; Employment; GPS information (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s13524-017-0549-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:demogr:v:54:y:2017:i:2:d:10.1007_s13524-017-0549-3
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13524
DOI: 10.1007/s13524-017-0549-3
Access Statistics for this article
Demography is currently edited by John D. Iceland, Stephen A. Matthews and Jenny Van Hook
More articles in Demography from Springer, Population Association of America (PAA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().