IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v11y2010i4p397-417.html
   My bibliography  Save this article

Voter Bias in the Associated Press College Football Poll

Author

Listed:
  • B. Jay Coleman

    (Department of Management, Coggin College of Business, University of North Florida, Jacksonville, Florida, jcoleman@unf.edu)

  • Andres Gallo

    (Department of Economics & Geography, Coggin College of Business, University of North Florida, Jacksonville, Florida)

  • Paul M. Mason

    (Department of Economics & Geography, Coggin College of Business, University of North Florida, Jacksonville, Florida)

  • Jeffrey W. Steagall

    (Department of Economics & Geography, Coggin College of Business, University of North Florida, Jacksonville, Florida)

Abstract

The authors investigate multiple biases in the individual weekly ballots submitted by the 65 voters in the Associated Press college football poll in 2007. Using censored Tobit modeling, they find evidence of bias toward teams (a) from the voter’s state, (b) in conferences represented in the voter’s state, (c) in selected Bowl Championship Series conferences, and (d) that played in televised games, particularly on relatively prominent networks. They also find evidence of inordinate bias toward simplistic performance measures—number of losses, and losing in the preceding week—even after controlling for performance using mean team strength derived from 16 so-called computer rankings.

Suggested Citation

  • 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.
  • Handle: RePEc:sae:jospec:v:11:y:2010:i:4:p:397-417
    DOI: 10.1177/1527002509346823
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1527002509346823
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1527002509346823?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. Noel D. Campbell & Tammy M. Rogers & R. Zachary Finney, 2007. "Evidence of Television Exposure Effects in AP Top 25 College Football Rankings," Journal of Sports Economics, , vol. 8(4), pages 425-434, 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. B. Jay Coleman, 2005. "Minimizing Game Score Violations in College Football Rankings," Interfaces, INFORMS, vol. 35(6), pages 483-496, December.
    4. Stern, Hal S., 2004. "Statistics and the College Football Championship," The American Statistician, American Statistical Association, vol. 58, pages 179-185, August.
    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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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. Matthew Kotchen & Matthew Potoski, 2011. "Conflicts of Interest Distort Public Evaluations: Evidence from the Top 25 Ballots of NCAA Football Coaches," NBER Working Papers 17628, National Bureau of Economic Research, Inc.
    3. 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.
    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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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.

    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. Trevon Logan, 2011. "Econometric tests of American college football's conventional wisdom," Applied Economics, Taylor & Francis Journals, vol. 43(20), pages 2493-2518.
    2. Trevon D. Logan, 2007. "Whoa, Nellie! Empirical Tests of College Football's Conventional Wisdom," NBER Working Papers 13596, National Bureau of Economic Research, Inc.
    3. 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.
    4. 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.
    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. 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.
    7. 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.
    8. Buchman Susan & Kadane Joseph B., 2008. "Reweighting the Bowl Championship Series," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(3), pages 1-13, July.
    9. Miles William W & Fowks Gary T & Coulter Lisa O, 2010. "AccuV College Football Ranking Model," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(3), pages 1-17, July.
    10. 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.
    11. 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.
    12. Sebastián Cea & Guillermo Durán & Mario Guajardo & Denis Sauré & Joaquín Siebert & Gonzalo Zamorano, 2020. "An analytics approach to the FIFA ranking procedure and the World Cup final draw," Annals of Operations Research, Springer, vol. 286(1), pages 119-146, March.
    13. 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.
    14. 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.
    15. 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.
    16. Csató, László, 2013. "Rangsorolás páros összehasonlításokkal. Kiegészítések a felvételizői preferencia-sorrendek módszertanához [Paired comparisons ranking. A supplement to the methodology of application-based preferenc," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1333-1353.
    17. G Kendall, 2008. "Scheduling English football fixtures over holiday periods," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 743-755, June.
    18. Shai Bernstein & Eyal Winter, 2012. "Contracting with Heterogeneous Externalities," American Economic Journal: Microeconomics, American Economic Association, vol. 4(2), pages 50-76, May.
    19. Rodney J. Paul & Mark Wilson, 2015. "Political Correctness, Selection Bias, and the NCAA Basketball Tournament," Journal of Sports Economics, , vol. 16(2), pages 201-213, February.
    20. 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.

    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:11:y:2010:i:4:p:397-417. 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.