IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v41y2020i8p1590-1601.html
   My bibliography  Save this article

How Do Outside Experts Evaluate Team Performance? An Empirical Analysis of Harris Poll Voting Behavior

Author

Listed:
  • Stacey L. Brook
  • Xiaomin Gai

Abstract

How do outside experts evaluate different group performance? Using Harris Poll voter behavior for National Collegiate Athletic Association (NCAA) Football Bowl Subdivision teams under the previous Bowl Championship Series (BCS) system, we created a model of voter behavior and found that team performance and team quality affect voting behavior, but not equally. We further investigated these voting differences and found that Harris Poll voters view some conferences more favorably than others. Before drawing a conclusion of discrimination, we also investigated whether differing non‐conference team performance was statistically different and found supporting evidence that different conferences perform at differing levels.

Suggested Citation

  • Stacey L. Brook & Xiaomin Gai, 2020. "How Do Outside Experts Evaluate Team Performance? An Empirical Analysis of Harris Poll Voting Behavior," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1590-1601, December.
    • Handle: RePEc:wly:mgtdec:v:41:y:2020:i:8:p:1590-1601
    DOI: 10.1002/mde.3205
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3205
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.3205?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. B. Jay Coleman & Andres Gallo & Paul M. Mason & Jeffrey W. Steagall, 2010. "Voter Bias in the Associated Press College Football Poll," Journal of Sports Economics, , vol. 11(4), pages 397-417, August.
    2. Rodney J. Paul & Andrew P. Weinbach & Patrick Coate, 2007. "Expectations and Voting in the NCAA Football Polls," Journal of Sports Economics, , vol. 8(4), pages 412-424, August.
    3. Nutting Andrew W., 2011. "And After That, Who Knows?: Detailing the Marginal Accuracy of Weekly College Football Polls," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-17, July.
    4. Trevon Logan, 2011. "Econometric tests of American college football's conventional wisdom," Applied Economics, Taylor & Francis Journals, vol. 43(20), pages 2493-2518.
    5. Lebovic, James H. & Sigelman, Lee, 2001. "The forecasting accuracy and determinants of football rankings," International Journal of Forecasting, Elsevier, vol. 17(1), pages 105-120.
    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. Randall W. Bennett, 2019. "Holdover Bias in the College Football Betting Market," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(1), pages 103-110, March.
    2. Kotchen, Matthew J. & Potoski, Matthew, 2014. "Conflicts of interest distort public evaluations: Evidence from NCAA football coaches," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 51-63.
    3. Justin M. Ross & Sarah E. Larson & Chad Wall, 2012. "Are Surveys Of Experts Unbiased? Evidence From College Football Rankings," Contemporary Economic Policy, Western Economic Association International, vol. 30(4), pages 502-522, October.
    4. Daniel Stone & Basit Zafar, 2014. "Do we follow others when we should outside the lab? Evidence from the AP top 25," Journal of Risk and Uncertainty, Springer, vol. 49(1), pages 73-102, August.
    5. Nutting Andrew W., 2011. "And After That, Who Knows?: Detailing the Marginal Accuracy of Weekly College Football Polls," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-17, July.
    6. Daniel F. Stone, 2013. "Testing Bayesian Updating With The Associated Press Top 25," Economic Inquiry, Western Economic Association International, vol. 51(2), pages 1457-1474, April.
    7. Sinkey, Michael, 2015. "How do experts update beliefs? Lessons from a non-market environment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 57(C), pages 55-63.
    8. Trevon Logan, 2011. "Econometric tests of American college football's conventional wisdom," Applied Economics, Taylor & Francis Journals, vol. 43(20), pages 2493-2518.
    9. Trevon D. Logan, 2007. "Whoa, Nellie! Empirical Tests of College Football's Conventional Wisdom," NBER Working Papers 13596, National Bureau of Economic Research, Inc.
    10. Rodney J. Andrews & Trevon D. Logan & Michael J. Sinkey, 2018. "Identifying Confirmatory Bias in the Field," Journal of Sports Economics, , vol. 19(1), pages 50-81, January.
    11. Mark David Witte & McDonald Paul Mirabile, 2010. "Not So Fast, My Friend: Biases in College Football Polls," Journal of Sports Economics, , vol. 11(4), pages 443-455, August.
    12. B. Jay Coleman & Andres Gallo & Paul M. Mason & Jeffrey W. Steagall, 2010. "Voter Bias in the Associated Press College Football Poll," Journal of Sports Economics, , vol. 11(4), pages 397-417, August.
    13. Rodney J. Andrews & Trevon D. Logan & Michael J. Sinkey, 2012. "Identifying Confirmatory Bias in the Field: Evidence from a Poll of Experts," NBER Working Papers 18064, National Bureau of Economic Research, Inc.
    14. Ferda Halicioglu, 2005. "Can We Predict The Outcome Of The International Football Tournaments : The Case Of Euro 2000?," Microeconomics 0503008, University Library of Munich, Germany.
    15. Rodney J. Paul & Andrew P. Weinbach & Patrick Coate, 2007. "Expectations and Voting in the NCAA Football Polls," Journal of Sports Economics, , vol. 8(4), pages 412-424, August.
    16. Klaassen, Franc J. G. M. & Magnus, Jan R., 2003. "Forecasting the winner of a tennis match," European Journal of Operational Research, Elsevier, vol. 148(2), pages 257-267, July.
    17. Leitner, Christoph & Zeileis, Achim & Hornik, Kurt, 2010. "Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008," International Journal of Forecasting, Elsevier, vol. 26(3), pages 471-481, July.
    18. Michael Sinkey & Trevon Logan, 2014. "Does the Hot Hand Drive the Market? Evidence from College Football Betting Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 40(4), pages 583-603, September.
    19. Ferda HALICIOGLU, 2005. "Forecasting the Professional Team Sporting Events: Evidence from Euro 2000 and 2004 Football Tournaments," Industrial Organization 0508001, University Library of Munich, Germany.
    20. del Corral, Julio & Prieto-Rodríguez, Juan, 2010. "Are differences in ranks good predictors for Grand Slam tennis matches?," International Journal of Forecasting, Elsevier, vol. 26(3), pages 551-563, July.

    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:wly:mgtdec:v:41:y:2020:i:8:p:1590-1601. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.