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Competitive Balance: Time Series Lessons from the E nglish P remier L eague

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  • Young Hoon Lee
  • Rodney Fort

Abstract

Structural break points in the First Division/English Premier League time series of competitive balance identify an Early Period, a Pre-World War II Period, a Post-War Period, and a Modern Period. The Early Period corresponds to technology diffusion (defense and tactics) along with important economic structural imposition by leagues. The war periods are common to many time series. The Modern Period¡¯s sharp decline in balance corresponds to the newest version of the Champions League in 1994/1995, increased revenue inequality, and the Bosman Ruling of 1995. Suggestions for future research are many.
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  • 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.
    • Handle: RePEc:bla:scotjp:v:59:y:2012:i:3:p:266-282
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    Cited by:

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    2. Vincent (Vincent Peter) Hogan & Patrick Massey, 2020. "Professional Rugby on the Celtic Fringe," Working Papers 202003, School of Economics, University College Dublin.
    3. Misael Martinez & Jonathan Willner, 2017. "Competitive Balance and Consumer Demand in the English Football League," Applied Finance and Accounting, Redfame publishing, vol. 3(2), pages 49-60, August.
    4. Fort, Rodney & Maxcy, Joel & Diehl, Mark, 2016. "Uncertainty by regulation: Rottenberg׳s invariance principle," Research in Economics, Elsevier, vol. 70(3), pages 454-467.
    5. Fatih Karanfil, 2017. "An empirical analysis of European football rivalries based on on-field performances," Sport Management Review, Taylor & Francis Journals, vol. 20(5), pages 468-482, December.
    6. Dorian Owen, 2014. "Measurement of competitive balance and uncertainty of outcome," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 3, pages 41-59, Edward Elgar Publishing.
    7. Burdekin, Richard C.K. & Franklin, Michael, 2015. "Transfer spending in the English premier league: the haves and the have nots," National Institute Economic Review, National Institute of Economic and Social Research, vol. 232, pages 4-17, May.
    8. 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.
    9. 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.
    10. 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.
    11. David J. Berri & Christian Deutscher & Arturo Galletti, 2015. "Born in the USA: National Origin Effects on Time Allocation in US and Spanish Professional Basketball," National Institute Economic Review, National Institute of Economic and Social Research, vol. 232(1), pages 41-50, May.
    12. Craig A. Depken II & Peter A. Groothuis & Mark C. Strazicich, 2016. "The Rise and Fall of the Enforcer in the National Hockey League," Working Papers 16-12, Department of Economics, Appalachian State University.
    13. 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.
    14. 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.

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    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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