“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.
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3 October 2023
Research Article|
October 03 2023
Ban the Box? Information, Incentives, and Statistical Discrimination Available to Purchase
John W. Patty;
John W. Patty
Professor of Political Science and Quantitative Theory & Methods,
Emory University
, Atlanta, GA, USA
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Elizabeth Maggie Penn
Elizabeth Maggie Penn
Professor of Political Science and Quantitative Theory & Methods,
Emory University
, Atlanta, GA, USA
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*
We thank anonymous reviewers, Scott Ashworth, Jon Bendor, Steve Callander, Tom Clark, Josh Clinton, Daniel Diermeier, Marc Fleurbaey, Dana Foarta, Michael Hanley, Navin Kartik, Jenny Kim, Cesar Martinelli, Andrea Moro, Marcus Pivato, Mattias Polborn, Aaron Roth, Miguel Rueda, Mehdi Shadmehr, Jessica Sun, Scott Tyson, seminar audiences at Columbia, Emory, NYU, Rochester, Stanford, University of Montreal, UNC Chapel Hill, Vanderbilt, and the 2021 Online Social Choice Seminar for incredibly helpful comments.
Online ISSN: 1554-0634
Print ISSN: 1554-0626
© 2023 J. W. Patty and E. M. Penn
2023
J. W. Patty and E. M. Penn
Licensed re-use rights only
Quarterly Journal of Political Science (2023) 18 (4): 513–542.
Citation
Patty JW, Penn EM (2023), "Ban the Box? Information, Incentives, and Statistical Discrimination". Quarterly Journal of Political Science, Vol. 18 No. 4 pp. 513–542, doi: https://doi.org/10.1561/100.00022021
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