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'Ban the Box' measures help high-crime neighborhoods

Author

Listed:
  • Stan Veuger

    (American Enterprise Institute)

  • Daniel Shoag
Abstract
A sizable number of localities have in recent years limited the use of criminal background checks in hiring decisions, or "banned the box." Using LEHD Origin-Destination Employment and American Community Survey data, we show that these bans increased employment of residents in high-crime neighborhoods by as much as 4%. These increases are particularly large in the public sector. At the same time, we establish using job postings data that employers respond to ban-the-box measures by raising experience requirements. A perhaps unintended consequence of this is that women, who are less likely to be convicted of crimes, see their employment opportunities reduced.

Suggested Citation

  • Stan Veuger & Daniel Shoag, 2019. "'Ban the Box' measures help high-crime neighborhoods," AEI Economics Working Papers 880075, American Enterprise Institute.
    • Handle: RePEc:aei:rpaper:880075
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    References listed on IDEAS

    as
    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.
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    6. Terry‐Ann Craigie, 2020. "Ban The Box, Convictions, And Public Employment," Economic Inquiry, Western Economic Association International, vol. 58(1), pages 425-445, January.
    7. 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.
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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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    More about this item

    Keywords

    Labor economics; Prison Education and Reentry;

    JEL classification:

    • A - General Economics and Teaching

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