IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v13y2012i6p642-653.html
   My bibliography  Save this article

Wonderlic, Race, and the NFL Draft

Author

Listed:
  • Andrew Gill
  • Victor Brajer

Abstract

Extending the work of Berri and Simmons on the National Football League (NFL) player draft and the Scouting Combine, the authors use the Wonderlic cognitive ability test to test one implication of a simple Phelps model of statistical discrimination in the NFL draft. The authors treat Wonderlic scores as a noisy signal of a player’s adaptability to the NFL game that may be more informative for White players than it is for Black players. The authors find that Wonderlic scores are important in explaining relative draft position for quarterbacks, offensive linemen, and tight ends. At the same time, the authors find limited evidence to support statistical discrimination based on Wonderlic scores.

Suggested Citation

  • Andrew Gill & Victor Brajer, 2012. "Wonderlic, Race, and the NFL Draft," Journal of Sports Economics, , vol. 13(6), pages 642-653, December.
  • Handle: RePEc:sae:jospec:v:13:y:2012:i:6:p:642-653
    DOI: 10.1177/1527002511429575
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1527002511429575
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1527002511429575?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
    ---><---

    References listed on IDEAS

    as
    1. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
    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. Mirabile, McDonald & Witte, Mark, 2012. "Collegiate and professional careers of high school athletes," MPRA Paper 40643, University Library of Munich, Germany.
    2. Gregory DeAngelo & Hannes Lang & Bryan McCannon, 2016. "Do Psychological Traits Explain Differences in Free Riding?," Working Papers 16-08, Department of Economics, West Virginia University.
    3. J.D. Pitts & B. Evans, 2018. "Evidence on the importance of cognitive ability tests for NFL quarterbacks: what are the relationships among Wonderlic scores, draft positions and NFL performance outcomes?," Applied Economics, Taylor & Francis Journals, vol. 50(27), pages 2957-2966, June.

    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. Chowdhury, Shyamal & Ooi, Evarn & Slonim, Robert, 2017. "Racial discrimination and white first name adoption: a field experiment in the Australian labour market," Working Papers 2017-15, University of Sydney, School of Economics.
    2. Joanna Tyrowicz & Lucas van der Velde, 2017. "When the opportunity knocks: large structural shocks and gender wage gaps," GRAPE Working Papers 2, GRAPE Group for Research in Applied Economics.
    3. Anja‐Kristin Abendroth & Yvonne Lott & Lena Hipp & Dana Müller & Armin Sauermann & Tanja Carstensen, 2022. "Has the COVID‐19 pandemic changed gender‐ and parental‐status‐specific differences in working from home? Panel evidence from Germany," Gender, Work and Organization, Wiley Blackwell, vol. 29(6), pages 1991-2011, November.
    4. Dessein, Wouter & Frankel, Alexander & Kartik, Navin, 2023. "Test-Optional Admissions," CEPR Discussion Papers 18090, C.E.P.R. Discussion Papers.
    5. Barthel, Jens, 2008. "Can age discrimination be justified with a lower productivity of older workers?," MPRA Paper 14682, University Library of Munich, Germany.
    6. Anthony Edo & Nicolas Jacquemet & Constantine Yannelis, 2019. "Language skills and homophilous hiring discrimination: Evidence from gender and racially differentiated applications," Review of Economics of the Household, Springer, vol. 17(1), pages 349-376, March.
    7. repec:mse:cesdoc:09059r is not listed on IDEAS
    8. Kevin Lang & Ariella Kahn-Lang Spitzer, 2020. "Race Discrimination: An Economic Perspective," Journal of Economic Perspectives, American Economic Association, vol. 34(2), pages 68-89, Spring.
    9. Ye Zhang, 2020. "Discrimination in the Venture Capital Industry: Evidence from Field Experiments," Papers 2010.16084, arXiv.org, revised Aug 2022.
    10. Klumpp, Tilman & Su, Xuejuan, 2013. "Second-order statistical discrimination," Journal of Public Economics, Elsevier, vol. 97(C), pages 108-116.
    11. Pierre Fleckinger & Matthieu Glachant & Gabrielle Moineville, 2017. "Incentives for Quality in Friendly and Hostile Informational Environments," American Economic Journal: Microeconomics, American Economic Association, vol. 9(1), pages 242-274, February.
    12. Lia Pacelli & Silvia Pasqua & Claudia Villosio, 2007. "What Does the Stork Bring to Women’s Working Career?," LABORatorio R. Revelli Working Papers Series 58, LABORatorio R. Revelli, Centre for Employment Studies.
    13. Bramoullé, Yann & Goyal, Sanjeev, 2016. "Favoritism," Journal of Development Economics, Elsevier, vol. 122(C), pages 16-27.
    14. Maria Kravtsova & Aleksey Oshchepkov, 2019. "Market And Network Corruption," HSE Working papers WP BRP 209/EC/2019, National Research University Higher School of Economics.
    15. Sami Napari, 2008. "The Early‐career Gender Wage Gap among University Graduates in the Finnish Private Sector," LABOUR, CEIS, vol. 22(4), pages 697-733, December.
    16. Bryson, Alex & Chevalier, Arnaud, 2015. "Is there a taste for racial discrimination amongst employers?," Labour Economics, Elsevier, vol. 34(C), pages 51-63.
    17. Kaiser, Lutz C., 2014. "The Gender-Career Estimation Gap," IZA Discussion Papers 8185, Institute of Labor Economics (IZA).
    18. Bethany Everett & David Rehkopf & Richard Rogers, 2013. "The Nonlinear Relationship Between Education and Mortality: An Examination of Cohort, Race/Ethnic, and Gender Differences," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(6), pages 893-917, December.
    19. Daniel Fershtman & Alessandro Pavan, 2021. ""Soft" Affirmative Action and Minority Recruitment," American Economic Review: Insights, American Economic Association, vol. 3(1), pages 1-18, March.
    20. Luojia Hu & Christopher Taber, 2011. "Displacement, Asymmetric Information, and HeterogeneousHuman Capital," Journal of Labor Economics, University of Chicago Press, vol. 29(1), pages 113-152, January.
    21. Barry R. Chiswick & Paul W. Miller, 2018. "Do native-born bilinguals in the US earn more?," Review of Economics of the Household, Springer, vol. 16(3), pages 563-583, September.

    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:sae:jospec:v:13:y:2012:i:6:p:642-653. 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: SAGE Publications (email available below). General contact details of provider: .

    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.