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An empirical study of relationship between FIFA world ranking and domestic football competition level: the case of Turkey

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  • Halicioglu, Ferda

Abstract

This research is aimed at establishing a bivariate long-run association between FIFA country ranking and domestic football competition level in the case of Turkey. To test this hypothesis empirically, coefficient of variation values are computed seasonally for Turkish Super League over 1994-2010. This variable along the FIFA ranking of Turkey in the same period are used in the framework of ARDL approach to cointegration. The empirical results suggest that a 1% increase in the domestic football competition level leads to 1.14% rise in the FIFA ranking of Turkey. The post-sample variance decompositions also confirm the long-run relationship.

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  • Halicioglu, Ferda, 2012. "An empirical study of relationship between FIFA world ranking and domestic football competition level: the case of Turkey," MPRA Paper 35662, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:35662
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    1. Allen R. Sanderson & John J. Siegfried, 2003. "Thinking about Competitive Balance," Journal of Sports Economics, , vol. 4(4), pages 255-279, November.
    2. Jeffery Borland, 2003. "Demand for Sport," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(4), pages 478-502, Winter.
    3. Andrew S. Zimbalist, 2002. "Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 3(2), pages 111-121, May.
    4. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    5. E. Woodrow Eckard, 2003. "The Anova-Based Competitive Balance Measure," Journal of Sports Economics, , vol. 4(1), pages 74-80, February.
    6. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    7. Helmut M. Dietl & Martin Grossmann & Markus Lang, 2011. "Competitive Balance and Revenue Sharing in Sports Leagues With Utility-Maximizing Teams," Journal of Sports Economics, , vol. 12(3), pages 284-308, June.
    8. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    9. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    10. Ferda Halicioglu, 2006. "The impact of football point systems on the competitive balance: evidence from some european football leagues," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 2(2), pages 67-76, Dicembre.
    11. 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.
    12. Stefan Kesenne, 2000. "Revenue Sharing and Competitive Balance in Professional Team Sports," Journal of Sports Economics, , vol. 1(1), pages 56-65, February.
    13. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    14. Kelly Goossens, 2006. "Competitive balance in european football: comparison by adapting measures: national measure of seasonal imbalance and Top 3," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 2(2), pages 77-122, Dicembre.
    15. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    16. Halicioglu Ferda, 2009. "Research on the Prediction of the likely Winners of the Euro 2008 Football Tournament," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-15, July.
    17. Wladimir Andreff, 2008. "Globalization of the sports economy," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 4(3), pages 13-32, Dicembre.
    18. James W. Meehan Jr. & Randy A. Nelson & Thomas V. Richardson, 2007. "Competitive Balance and Game Attendance in Major League Baseball," Journal of Sports Economics, , vol. 8(6), pages 563-580, December.
    19. Loek Groot, 2005. "European football: Back to the 1950s," Industrial Organization 0505003, University Library of Munich, Germany.
    20. Joshua Utt & Rodney Fort, 2002. "Pitfalls to Measuring Competitive Balance With Gini Coefficients," Journal of Sports Economics, , vol. 3(4), pages 367-373, November.
    21. Brad R. Humphreys, 2002. "Alternative Measures of Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 3(2), pages 133-148, May.
    22. Luigi Buzzacchi & Stefan Szymanski & Tommaso Valletti, 2003. "Equality of Opportunity and Equality of Outcome: Open Leagues, Closed Leagues and Competitive Balance *#We thank the Editor and an anonymous referee for helpful comments," Journal of Industry, Competition and Trade, Springer, vol. 3(3), pages 167-186, September.
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    More about this item

    Keywords

    football; FIFA ranking; cointegration; variance decomposition; Turkey;
    All these keywords.

    JEL classification:

    • Z00 - Other Special Topics - - General - - - General
    • 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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