IDEAS home Printed from https://ideas.repec.org/a/kap/revind/v50y2017i1d10.1007_s11151-016-9526-z.html
   My bibliography  Save this article

Structural Change in Competitive Balance in Big-Time College Football

Author

Listed:
  • Steven Salaga

    (Texas A&M University)

  • Rodney Fort

    (University of Michigan)

Abstract

Competitive balance is an important element of fan preferences in sports industries. We analyze the time series behavior of competitive balance measures over the entire histories of each of the current US. “Power 5” football conferences. Competitive balance has been remarkably stable. All series are stationary by unit root tests. None of the very few structural break points that we do find coincide with economy-wide shocks (wars and the Great Depression) or with any particular college-football-wide policy alteration. This has important implications for sports researchers and for policy in the “big-time” college football industry.

Suggested Citation

  • Steven Salaga & Rodney Fort, 2017. "Structural Change in Competitive Balance in Big-Time College Football," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(1), pages 27-41, February.
    • Handle: RePEc:kap:revind:v:50:y:2017:i:1:d:10.1007_s11151-016-9526-z
    DOI: 10.1007/s11151-016-9526-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11151-016-9526-z
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11151-016-9526-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brian M. Mills & Steven Salaga, 2015. "Historical Time Series Perspectives on Competitive Balance in NCAA Division I Basketball," Journal of Sports Economics, , vol. 16(6), pages 614-646, August.
    2. Hamermesh, Daniel S., 2006. "Changing looks and changing "discrimination": The beauty of economists," Economics Letters, Elsevier, vol. 93(3), pages 405-412, December.
    3. James Quirk, 2004. "College football conferences and competitive balance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 63-75.
    4. Tucker, Irvin B., 2004. "A reexamination of the effect of big-time football and basketball success on graduation rates and alumni giving rates," Economics of Education Review, Elsevier, vol. 23(6), pages 655-661, December.
    5. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64(3), pages 242-242.
    6. Young Hoon Lee & Rodney Fort, 2012. "Competitive Balance: Time Series Lessons from the E nglish P remier L eague," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(3), pages 266-282, July.
    7. Bai, Jushan, 1997. "Estimating Multiple Breaks One at a Time," Econometric Theory, Cambridge University Press, vol. 13(3), pages 315-352, June.
    8. Brian Mills & Rodney Fort, 2014. "League-Level Attendance And Outcome Uncertainty In U.S. Pro Sports Leagues," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 205-218, January.
    9. Bai, Jushan, 1999. "Likelihood ratio tests for multiple structural changes," Journal of Econometrics, Elsevier, vol. 91(2), pages 299-323, August.
    10. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    11. Rodney Fort & James Quirk, 1995. "Cross-subsidization, Incentives, and Outcomes in Professional Team Sports Leagues," Journal of Economic Literature, American Economic Association, vol. 33(3), pages 1265-1299, September.
    12. Cavaliere, Giuseppe & Xu, Fang, 2014. "Testing for unit roots in bounded time series," Journal of Econometrics, Elsevier, vol. 178(P2), pages 259-272.
    13. Irvin B. Tucker, 2005. "Big-Time Pigskin Success," Journal of Sports Economics, , vol. 6(2), pages 222-229, May.
    14. Randall W. Bennett & John L. Fizel, 1995. "Telecast Deregulation and Competitive Balance," American Journal of Economics and Sociology, Wiley Blackwell, vol. 54(2), pages 183-199, April.
    15. D. Randall Smith, 2008. "Big-Time College Basketball and the Advertising Effect," Journal of Sports Economics, , vol. 9(4), pages 387-406, August.
    16. S. M. Dobson & J. A. Goddard, 1998. "Performance and revenue in professional league football: evidence from Granger causality tests," Applied Economics, Taylor & Francis Journals, vol. 30(12), pages 1641-1651.
    17. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    18. Irvin B. Tucker & L. Ted Amato, 2006. "A Reinvestigation of the Relationship Between Big-Time Basketball Success and Average SAT Scores," Journal of Sports Economics, , vol. 7(4), pages 428-440, November.
    19. Daniel Sutter & Stephen Winkler, 2003. "Ncaa Scholarship Limits and Competitive Balance in College Football," Journal of Sports Economics, , vol. 4(1), pages 3-18, February.
    20. Michael R. Butler, 1995. "Competitive Balance in Major League Baseball," The American Economist, Sage Publications, vol. 39(2), pages 46-52, October.
    21. Rodney Fort & Young Hoon Lee, 2007. "Structural Change, Competitive Balance, And The Rest Of The Major Leagues," Economic Inquiry, Western Economic Association International, vol. 45(3), pages 519-532, July.
    22. Young Hoon Lee & Rodney Fort, 2005. "Structural Change in MLB Competitive Balance: The Depression, Team Location, and Integration," Economic Inquiry, Western Economic Association International, vol. 43(1), pages 158-169, January.
    23. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    24. E. Eckard, 1998. "The NCAA Cartel and Competitive Balance in College Football," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 13(3), pages 347-369, June.
    25. Young Lee & Rodney Fort, 2008. "Attendance and the Uncertainty-of-Outcome Hypothesis in Baseball," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 281-295, December.
    26. Rodney Fort & Young Hoon Lee, 2006. "Stationarity and Major League Baseball Attendance Analysis," Journal of Sports Economics, , vol. 7(4), pages 408-415, November.
    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. Rodney Fort, 2018. "Modeling Competitive Imbalance and Self-Regulation in College Sports," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 52(2), pages 231-251, March.
    2. Brian Mills & Jason Winfree, 2018. "Athlete Pay and Competitive Balance in College Athletics," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 52(2), pages 211-229, March.
    3. E. Woodrow Eckard, 2019. "Does the NCAA’s Collegiate Model Promote Competitive Balance? Power-5 Conference Football Versus the NFL," Journal of Sports Economics, , vol. 20(5), pages 654-670, June.
    4. Brad R. Humphreys & Scott Schuh & Corey J.M. Williams, "undated". "Learning by Doing, Productivity, and Growth: New Evidence on the Link between Micro and Macro Data," Working Papers 24-02, Department of Economics, West Virginia University.
    5. Lee, Travis, 2020. "Competitive Balance in the National Hockey League after Unrestricted Free Agency and the Salary Cap," MPRA Paper 108400, University Library of Munich, Germany.

    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. Brian M. Mills & Steven Salaga, 2015. "Historical Time Series Perspectives on Competitive Balance in NCAA Division I Basketball," Journal of Sports Economics, , vol. 16(6), pages 614-646, August.
    2. Hayley Jang & Young Hoon Lee & Rodney Fort, 2019. "Winning In Professional Team Sports: Historical Moments," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 103-120, January.
    3. Peter A. Groothuis & Kurt W. Rotthoff & Mark C. Strazicich, 2017. "Structural Breaks in the Game," Journal of Sports Economics, , vol. 18(6), pages 622-637, August.
    4. Young Hoon Lee, 2009. "The Impact of Postseason Restructuring on the Competitive Balance and Fan Demand in Major League Baseball," Journal of Sports Economics, , vol. 10(3), pages 219-235, June.
    5. Fort, Rodney & Maxcy, Joel & Diehl, Mark, 2016. "Uncertainty by regulation: Rottenberg׳s invariance principle," Research in Economics, Elsevier, vol. 70(3), pages 454-467.
    6. Anthony C. Krautmann & Young Hoon Lee & Kevin Quinn, 2011. "Playoff Uncertainty and Pennant Races," Journal of Sports Economics, , vol. 12(5), pages 495-514, October.
    7. Brian Mills & Rodney Fort, 2014. "League-Level Attendance And Outcome Uncertainty In U.S. Pro Sports Leagues," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 205-218, January.
    8. Hojun Sung & Brian M. Mills & Younghoon Lee, 2022. "Moments of Competitive Balance in Major League Soccer," Journal of Sports Economics, , vol. 23(3), pages 329-354, April.
    9. Rodney Fort & Young Hoon Lee, 2007. "Structural Change, Competitive Balance, And The Rest Of The Major Leagues," Economic Inquiry, Western Economic Association International, vol. 45(3), pages 519-532, July.
    10. Young Lee & Rodney Fort, 2008. "Attendance and the Uncertainty-of-Outcome Hypothesis in Baseball," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 281-295, December.
    11. Brian M. Mills & Rodney Fort, 2018. "Team-Level Time Series Analysis in MLB, the NBA, and the NHL," Journal of Sports Economics, , vol. 19(7), pages 911-933, October.
    12. Craig A. Depken & Peter A. Groothuis & Mark C. Strazicich, 2020. "Evolution Of Community Deterrence: Evidence From The National Hockey League," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 289-303, April.
    13. Jaret Treber & Rachel Levy & Victor A. Matheson, 2013. "Gender differences in competitive balance in intercollegiate basketball," Chapters, in: Eva Marikova Leeds & Michael A. Leeds (ed.), Handbook on the Economics of Women in Sports, chapter 12, pages 251-268, Edward Elgar Publishing.
    14. Young Hoon Lee & Yongdai Kim & Sara Kim, 2019. "A Bias-Corrected Estimator of Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 20(4), pages 479-508, May.
    15. Young Hoon Lee & Rodney Fort, 2012. "Competitive Balance: Time Series Lessons from the E nglish P remier L eague," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(3), pages 266-282, July.
    16. Rodney Fort & Young Hoon Lee, 2013. "Major League Baseball attendance time series: league policy lessons," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 2, pages 35-50, Edward Elgar Publishing.
    17. Kurozumi, Eiji & Tuvaandorj, Purevdorj, 2011. "Model selection criteria in multivariate models with multiple structural changes," Journal of Econometrics, Elsevier, vol. 164(2), pages 218-238, October.
    18. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    19. Travaglini, Guido, 2007. "The U.S. Dynamic Taylor Rule With Multiple Breaks, 1984-2001," MPRA Paper 3419, University Library of Munich, Germany, revised 15 Jun 2007.
    20. Venkata Jandhyala & Stergios Fotopoulos & Ian MacNeill & Pengyu Liu, 2013. "Inference for single and multiple change-points in time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 423-446, July.

    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:kap:revind:v:50:y:2017:i:1:d:10.1007_s11151-016-9526-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.