IDEAS home Printed from https://ideas.repec.org/a/ucp/jlawec/doi10.1086-711367.html
   My bibliography  Save this article

Ban-the-Box Measures Help High-Crime Neighborhoods

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/711367
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/711367
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/711367?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Matthew R. Graham & Mark J. Kutzbach & Brian McKenzie, 2014. "Design Comparison of LODES and ACS Commuting Data Products," Working Papers 14-38, Center for Economic Studies, U.S. Census Bureau.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Kaestner, Robert & Wang, Xufei, 2024. "Ban-the-box laws: Fair and effective?," International Review of Law and Economics, Elsevier, vol. 78(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kevin Credit & Zander Arnao, 2023. "A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data," Environment and Planning B, , vol. 50(3), pages 709-722, March.
    2. Jonathan I. Dingel & Felix Tintelnot, 2020. "Spatial Economics for Granular Settings," NBER Working Papers 27287, National Bureau of Economic Research, Inc.
    3. Dieterle, Steven & Bartalotti, Otávio C. & Brummet, Quentin O., 2016. "Revisiting the Effects of Unemployment Insurance Extensions on Unemployment: A Measurement Error-Corrected RD Approach," Staff General Research Papers Archive 3392, Iowa State University, Department of Economics.
    4. Guettabi, Mouhcine & James, Alexander, 2020. "Who benefits from an oil boom? Evidence from a unique Alaskan data set," Resource and Energy Economics, Elsevier, vol. 62(C).
    5. Dieterle, Steven & Bartalotti, Otávio C. & Brummet, Quentin O., 2016. "Revisiting the Effects of Unemployment Insurance Extensions on Unemployment: A Measurement Error-Corrected RD Approach," ISU General Staff Papers 201604210700001002, Iowa State University, Department of Economics.
    6. Victor Couture & Jessie Handbury, 2017. "Urban Revival in America, 2000 to 2010," NBER Working Papers 24084, National Bureau of Economic Research, Inc.
    7. Czurylo, Todd, 2023. "The effect of tax increment financing districts on job creation in Chicago," Journal of Urban Economics, Elsevier, vol. 134(C).
    8. Freedman, Matthew & Khanna, Shantanu & Neumark, David, 2023. "Combining rules and discretion in economic development policy: Evidence on the impacts of the California Competes Tax Credit," Journal of Public Economics, Elsevier, vol. 217(C).
    9. Steven Dieterle & Otávio Bartalotti & Quentin Brummet, 2020. "Revisiting the Effects of Unemployment Insurance Extensions on Unemployment: A Measurement-Error-Corrected Regression Discontinuity Approach," American Economic Journal: Economic Policy, American Economic Association, vol. 12(2), pages 84-114, May.
    10. James Saxon, 2021. "The local structures of human mobility in Chicago," Environment and Planning B, , vol. 48(7), pages 1806-1821, September.
    11. Simon J. Berrebi & Kari E. Watkins, 2020. "Whos Ditching the Bus?," Papers 2001.02200, arXiv.org, revised Mar 2020.
    12. Matthew Graham & Mark Kutzbach & Danielle H. Sandler, 2017. "Developing a Residence Candidate File for Use With Employer-Employee Matched Data," CES Technical Notes Series 17-01, Center for Economic Studies, U.S. Census Bureau.
    13. Perez Perez, Jorge, 2020. "City Minimum Wages and Spatial Equilibrium Effects," SocArXiv fpx9e, Center for Open Science.
    14. Garrett Dash Nelson & Alasdair Rae, 2016. "An Economic Geography of the United States: From Commutes to Megaregions," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-23, November.
    15. Ballance, Joshua & Clifford, Robert & Shoag, Daniel, 2020. "“No more credit score”: Employer credit check bans and signal substitution," Labour Economics, Elsevier, vol. 63(C).
    16. Raymond Owens III & Esteban Rossi-Hansberg & Pierre-Daniel Sarte, 2020. "Rethinking Detroit," American Economic Journal: Economic Policy, American Economic Association, vol. 12(2), pages 258-305, May.
    17. Andrew S. Green & Mark J. Kutzbach & Lars Vilhuber, 2017. "Two Perspectives on Commuting: A Comparison of Home to Work Flows Across Job-Linked Survey and Administrative Files," Working Papers 17-34, Center for Economic Studies, U.S. Census Bureau.
    18. Robert Manduca, 2018. "The US Census Longitudinal Employer-Household Dynamics Datasets," REGION, European Regional Science Association, vol. 5, pages 5-12.
    19. Parkhomenko, Andrii & Delventhal, Matthew J, 2023. "Spatial Implications of Telecommuting in the United States," Institute of Transportation Studies, Working Paper Series qt97q6c2rg, Institute of Transportation Studies, UC Davis.
    20. Maysen Yen, 2024. "Does Rapid Transit and Light Rail Infrastructure Improve Labor Market Outcomes?," Working Papers 24-22, Center for Economic Studies, U.S. Census Bureau.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ucp:jlawec:doi:10.1086/711367. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/JLE .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.