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Ban-the-Box Measures Help High-Crime Neighborhoods

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  • Daniel Shoag
  • Stan Veuger

Abstract

Many localities have in recent years regulated the use of questions about criminal history in hiring, or “banned the box.” We show that these regulations increased employment of residents in high-crime neighborhoods by up to 4 percent, consistent with the central objective of these measures. This effect can be seen in both aggregate employment patterns for high-crime neighborhoods and commuting patterns to workplace destinations with this type of ban. The increases are particularly large in the public sector and in lower-wage jobs. This is the first nationwide evidence that these policies do indeed increase employment opportunities in neighborhoods with many ex-offenders.

Suggested Citation

  • Daniel Shoag & Stan Veuger, 2021. "Ban-the-Box Measures Help High-Crime Neighborhoods," Journal of Law and Economics, University of Chicago Press, vol. 64(1), pages 85-105.
    • Handle: RePEc:ucp:jlawec:doi:10.1086/711367
    DOI: 10.1086/711367
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    1. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    2. Holzer, Harry J & Raphael, Steven & Stoll, Michael A, 2006. "Perceived Criminality, Criminal Background Checks, and the Racial Hiring Practices of Employers," Journal of Law and Economics, University of Chicago Press, vol. 49(2), pages 451-480, October.
    3. Devah Pager & Bruce Western & Naomi Sugie, 2009. "Sequencing Disadvantage: Barriers to Employment Facing Young Black and White Men with Criminal Records," The ANNALS of the American Academy of Political and Social Science, , vol. 623(1), pages 195-213, May.
    4. McCauley, E.J., 2017. "The cumulative probability of arrest by age 28 years in the United States by disability status, race/ethnicity, and gender," American Journal of Public Health, American Public Health Association, vol. 107(12), pages 1977-1981.
    5. Terry‐Ann Craigie, 2020. "Ban The Box, Convictions, And Public Employment," Economic Inquiry, Western Economic Association International, vol. 58(1), pages 425-445, January.
    6. Ferdinando Monte, 2016. "The Local Incidence of Trade Shocks," 2016 Meeting Papers 1682, Society for Economic Dynamics.
    7. David H. Autor & David Scarborough, 2008. "Does Job Testing Harm Minority Workers? Evidence from Retail Establishments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(1), pages 219-277.
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    Cited by:

    1. Osborne Jackson & Riley Sullivan & Bo Zhao, 2017. "Reintegrating the ex-offender population in the U.S. labor market: lessons from the CORI Reform in Massachusetts," New England Public Policy Center Research Report 17-1, Federal Reserve Bank of Boston.
    2. Lundberg, Alexander & Mungan, Murat, 2022. "The effect of evidentiary rules on conviction rates," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 563-576.
    3. Kaestner, Robert & Wang, Xufei, 2024. "Ban-the-box laws: Fair and effective?," International Review of Law and Economics, Elsevier, vol. 78(C).
    4. Cody Tuttle, 2019. "Snapping Back: Food Stamp Bans and Criminal Recidivism," American Economic Journal: Economic Policy, American Economic Association, vol. 11(2), pages 301-327, May.

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