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Performance and revenue in professional league football: evidence from Granger causality tests

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  • S. M. Dobson
  • J. A. Goddard

Abstract

Using a dataset comprising annual performance (measured by final league position) and gate revenue for 77 Football League clubs which maintained unbroken league membership between 1946 and 1994, the relationship between performance and revenue is investigated using cointegration and causality tests. A cointegrating relationship between performance and revenue is established in only 10 cases out of 77, although it is argued that some caution is required in interpreting these results, due to the low power of the relevant tests in relatively small samples. In Granger causality tests, more evidence is found of causality running from lagged revenue to current performance than of causality in the opposite direction, while the dependence of performance on revenue seems to be greater for the smaller clubs than for the larger. These results lend empirical support to the popular view that, unless checked by mechanisms for revenue redistribution within the league, the natural tendency is for success to become concentrated increasingly among a small group of elite, wealthy clubs.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:applec:v:30:y:1998:i:12:p:1641-1651
    DOI: 10.1080/000368498324715
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    References listed on IDEAS

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    1. S. M. Dobson & J. A. Goddard, 1996. "The Demand for Football in the Regions of England and Wales," Regional Studies, Taylor & Francis Journals, vol. 30(5), pages 443-453.
    2. David Peel & Dennis Thomas, 1996. "Attendance demand: an investigation of repeat fixtures," Applied Economics Letters, Taylor & Francis Journals, vol. 3(6), pages 391-394.
    3. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    4. Stefan Szymanski & Ron Smith, 2010. "The English Football Industry: Profit, Performance and Industrial Structure," Palgrave Macmillan Books, in: Football Economics and Policy, chapter 1, pages 1-26, Palgrave Macmillan.
    5. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    6. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    7. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    8. Baimbridge, Mark & Cameron, Samuel & Dawson, Peter, 1996. "Satellite Television and the Demand for Football: A Whole New Ball Game?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 43(3), pages 317-333, August.
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