IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2208.08348.html
   My bibliography  Save this paper

Ban The Box? Information, Incentives, and Statistical Discrimination

Author

Listed:
  • John W. Patty
  • Elizabeth Maggie Penn

Abstract

"Banning the Box" refers to a policy campaign aimed at prohibiting employers from soliciting applicant information that could be used to statistically discriminate against categories of applicants (in particular, those with criminal records). In this article, we examine how the concealing or revealing of informative features about an applicant's identity affects hiring both directly and, in equilibrium, by possibly changing applicants' incentives to invest in human capital. We show that there exist situations in which an employer and an applicant are in agreement about whether to ban the box. Specifically, depending on the structure of the labor market, banning the box can be (1) Pareto dominant, (2) Pareto dominated, (3) benefit the applicant while harming the employer, or (4) benefit the employer while harming the applicant. Our results have policy implications spanning beyond employment decisions, including the use of credit checks by landlords and standardized tests in college admissions.

Suggested Citation

  • John W. Patty & Elizabeth Maggie Penn, 2022. "Ban The Box? Information, Incentives, and Statistical Discrimination," Papers 2208.08348, arXiv.org.
  • Handle: RePEc:arx:papers:2208.08348
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2208.08348
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Bjerk, 2008. "Glass Ceilings or Sticky Floors? Statistical Discrimination in a Dynamic Model of Hiring and Promotion," Economic Journal, Royal Economic Society, vol. 118(530), pages 961-982, July.
    2. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226041162, September.
    3. David Bjerk, 2008. "Glass Ceilings or Sticky Floors? Statistical Discrimination in a Dynamic Model of Hiring and Promotion," Economic Journal, Royal Economic Society, vol. 118(530), pages 961-982, July.
    4. Fryer, Roland Jr., 2007. "Belief flipping in a dynamic model of statistical discrimination," Journal of Public Economics, Elsevier, vol. 91(5-6), pages 1151-1166, June.
    5. Jennifer L. Doleac & Benjamin Hansen, 2020. "The Unintended Consequences of “Ban the Box”: Statistical Discrimination and Employment Outcomes When Criminal Histories Are Hidden," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 321-374.
    6. Coate, Stephen & Loury, Glenn C, 1993. "Will Affirmative-Action Policies Eliminate Negative Stereotypes?," American Economic Review, American Economic Association, vol. 83(5), pages 1220-1240, December.
    7. Fryer, Roland, 2007. "Belief Flipping in a Dynamic Model of Statistical Discrimination," Scholarly Articles 2955768, Harvard University Department of Economics.
    8. Kim, Young-Chul & Loury, Glenn C., 2019. "To be, or not to be: Stereotypes, identity choice and group inequality," Journal of Public Economics, Elsevier, vol. 174(C), pages 36-52.
    Full references (including those not matched with items on IDEAS)

    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. Lehmann, Jee-Yeon, 2011. "Job assignment and promotion under statistical discrimination: evidence from the early careers of lawyers," MPRA Paper 33466, University Library of Munich, Germany.
    2. Costas Cavounidis & Kevin Lang, 2015. "Discrimination and Worker Evaluation," NBER Working Papers 21612, National Bureau of Economic Research, Inc.
    3. Cassidy, Hugh & DeVaro, Jed & Kauhanen, Antti, 2016. "Promotion signaling, gender, and turnover: New theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 140-166.
    4. Kevin Lang & Jee-Yeon K. Lehmann, 2012. "Racial Discrimination in the Labor Market: Theory and Empirics," Journal of Economic Literature, American Economic Association, vol. 50(4), pages 959-1006, December.
    5. Anders Frederiksen & Timothy Halliday, 2015. "Why are there so few Women in Executive Positions? An Analysis of Gender Differences in the Life-Cycle of Executive Employment," Working Papers 2015-6, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    6. Kato, Takao & Kodama, Naomi, 2017. "Women in the Workplace and Management Practices: Theory and Evidence," IZA Discussion Papers 10788, Institute of Labor Economics (IZA).
    7. Paul M. Guest, 2016. "Executive Mobility and Minority Status," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 55(4), pages 604-631, October.
    8. Oliver Gürtler & Lennart Struth, 2021. "Do Workers Benefit from Wage Transparency Rules?," ECONtribute Discussion Papers Series 105, University of Bonn and University of Cologne, Germany.
    9. Nina Smith & Valdemar Smith & Mette Verner, 2013. "Why are So Few Females Promoted into CEO and Vice President Positions? Danish Empirical Evidence, 1997–2007," ILR Review, Cornell University, ILR School, vol. 66(2), pages 380-408, April.
    10. Kato, Takao & Ogawa, Hiromasa & Owan, Hideo, 2016. "Working Hours, Promotion and the Gender Gap in the Workplace," IZA Discussion Papers 10454, Institute of Labor Economics (IZA).
    11. Mialon, Sue H. & Yoo, Seung Han, 2017. "Incentives for discrimination," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 141-160.
    12. Ozerturk, Saltuk, 2016. "Minority perception of exclusion and promotion hurdles," Economics Letters, Elsevier, vol. 141(C), pages 55-59.
    13. KAWAGUCHI Daiji & OWAN Hideo & TAKAHASHI Kazuteru, 2016. "Working Hours, Promotion, and Gender Gaps in the Workplace," Discussion papers 16060, Research Institute of Economy, Trade and Industry (RIETI).
    14. Klumpp, Tilman & Su, Xuejuan, 2013. "Second-order statistical discrimination," Journal of Public Economics, Elsevier, vol. 97(C), pages 108-116.
    15. Song Han, 2011. "Creditor Learning and Discrimination in Lending," Journal of Financial Services Research, Springer;Western Finance Association, vol. 40(1), pages 1-27, October.
    16. Brishti Guha & Prabal Roy Chowdhury, 2015. "Affirmative action in the presence of a creamy layer," Discussion Papers 15-06, Indian Statistical Institute, Delhi.
    17. Lommerud, Kjell Erik & Straume, Odd Rune & Vagstad, Steinar, 2015. "Mommy tracks and public policy: On self-fulfilling prophecies and gender gaps in hiring and promotion," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 540-554.
    18. Guha, Brishti & Roy Chowdhury, Prabal, 2017. "Affirmative Action in the Presence of a Creamy Layer: Identity or Class Based?," MPRA Paper 78686, University Library of Munich, Germany.
    19. Michèle Müller-Itten & Aniko Öry, 2022. "Mentoring and the Dynamics of Affirmative Action," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 402-444, May.
    20. Mario Bossler & Philipp Grunau, 2020. "Asymmetric information in external versus internal promotions," Empirical Economics, Springer, vol. 59(6), pages 2977-2998, December.

    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:arx:papers:2208.08348. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.