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Ban The Box? Information, Incentives, and Statistical Discrimination

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  • 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
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    References listed on IDEAS

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    2. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226041162, January.
    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.
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