IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v18y2017i8p787-802.html
   My bibliography  Save this article

Cream Puffs

Author

Listed:
  • Daniel Simundza

Abstract

This article provides a novel answer to the question of why elite college football programs schedule so-called “cream puff†games against vastly inferior out-of-conference opponents. Using data on college football games from 2002 to 2010, I find that a team’s chances of winning are 5.3–15.6% greater in the game following their victory over a cream puff. In my preferred estimation, this “cream puff effect†is roughly half as large as the estimated home field advantage. I also show that the U.S. Today/Sagarin rating system, which I use to control for team abilities, penalizes teams for playing vastly inferior opponents. I devise two empirical strategies that deal with this potential problem and show that the cream puff effect is not simply an artifact of the rating system. These results contribute to the literature on dynamic contests by showing that not only does the timing of one’s efforts within a contest matter but so does the schedule of one’s opponents.

Suggested Citation

  • Daniel Simundza, 2017. "Cream Puffs," Journal of Sports Economics, , vol. 18(8), pages 787-802, December.
  • Handle: RePEc:sae:jospec:v:18:y:2017:i:8:p:787-802
    DOI: 10.1177/1527002515609664
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1527002515609664
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1527002515609664?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. Vergin, Roger C. & Sosik, John J., 1999. "No place like home: an examination of the home field advantage in gambling strategies in NFL football," Journal of Economics and Business, Elsevier, vol. 51(1), pages 21-31, January.
    2. Borghesi, Richard, 2007. "The home team weather advantage and biases in the NFL betting market," Journal of Economics and Business, Elsevier, vol. 59(4), pages 340-354.
    3. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-465, May.
    4. Stefan Szymanski, 2010. "The Economic Design of Sporting Contests," Palgrave Macmillan Books, in: The Comparative Economics of Sport, chapter 1, pages 1-78, Palgrave Macmillan.
    5. Christopher Harris & John Vickers, 1987. "Racing with Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 54(1), pages 1-21.
    6. Steven D. Levitt, 2004. "Why are gambling markets organised so differently from financial markets?," Economic Journal, Royal Economic Society, vol. 114(495), pages 223-246, April.
    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. Justin Cox & Adam L. Schwartz & Bonnie F. Van Ness & Robert A. Van Ness, 2021. "The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games," Journal of Sports Economics, , vol. 22(3), pages 251-273, April.
    2. Yoon Tae Sung & Scott Tainsky, 2014. "The National Football League Wagering Market," Journal of Sports Economics, , vol. 15(4), pages 365-384, August.
    3. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    4. Bryan C. McCannon, 2015. "Replacement Referees And Nfl Betting Markets," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 9(2), pages 14-26.
    5. Emmanuel Dechenaux & Dan Kovenock & Roman Sheremeta, 2015. "A survey of experimental research on contests, all-pay auctions and tournaments," Experimental Economics, Springer;Economic Science Association, vol. 18(4), pages 609-669, December.
    6. Aner Sela, 2021. "Resource Allocations In Multi-Stage Contests," Working Papers 2105, Ben-Gurion University of the Negev, Department of Economics.
    7. Aner Sela, 2023. "Resource allocations in the best-of-k ( $$k=2,3$$ k = 2 , 3 ) contests," Journal of Economics, Springer, vol. 139(3), pages 235-260, August.
    8. Shakun D. Mago & Roman M. Sheremeta, 2017. "Multi‐battle Contests: An Experimental Study," Southern Economic Journal, John Wiley & Sons, vol. 84(2), pages 407-425, October.
    9. Konrad, Kai A. & Kovenock, Dan, 2009. "Multi-battle contests," Games and Economic Behavior, Elsevier, vol. 66(1), pages 256-274, May.
    10. repec:lan:wpaper:3618 is not listed on IDEAS
    11. repec:lan:wpaper:3620 is not listed on IDEAS
    12. Corey A. Shank, 2018. "Is the NFL betting market still inefficient?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(4), pages 818-827, October.
    13. Haoming Liu & Jingfeng Lu & Alberto Salvo, 2023. "Willingness to fight on: Environmental quality in dynamic contests," RAND Journal of Economics, RAND Corporation, vol. 54(2), pages 189-239, June.
    14. Konrad, Kai A., 2007. "Strategy in contests: an introduction [Strategie in Turnieren – eine Einführung]," Discussion Papers, Research Unit: Market Processes and Governance SP II 2007-01, WZB Berlin Social Science Center.
    15. González-Díaz, Julio & Palacios-Huerta, Ignacio, 2016. "Cognitive performance in competitive environments: Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 139(C), pages 40-52.
    16. Rodney J Paul & Andrew Weinbach, 2012. "Wagering Preferences Of Nfl Bettors: Determinants Of Betting Volume," Journal of Prediction Markets, University of Buckingham Press, vol. 6(1), pages 42-55.
    17. Barbieri, Stefano & Serena, Marco, 2022. "Biasing dynamic contests between ex-ante symmetric players," Games and Economic Behavior, Elsevier, vol. 136(C), pages 1-30.
    18. Adi Schnytzer & Guy Weinberg, 2008. "Testing for Home Team and Favorite Biases in the Australian Rules Football Fixed-Odds and Point Spread Betting Markets," Journal of Sports Economics, , vol. 9(2), pages 173-190, April.
    19. Cohen-Zada, Danny & Krumer, Alex & Shapir, Offer Moshe, 2018. "Testing the effect of serve order in tennis tiebreak," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 106-115.
    20. Kimbrough, Erik O. & Laughren, Kevin & Sheremeta, Roman, 2020. "War and conflict in economics: Theories, applications, and recent trends," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 998-1013.
    21. Aner Sela & Oz Tsahi, 2020. "On the optimal allocation of prizes in best-of-three all-pay auctions," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 55(2), pages 255-273, August.
    22. repec:lan:wpaper:3726 is not listed on IDEAS
    23. Sheremeta, Roman, 2009. "Essays on Experimental Investigation of Lottery Contests," MPRA Paper 49888, University Library of Munich, Germany.

    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:18:y:2017:i:8:p:787-802. 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.