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Our fans in the north: the demand for British Rugby League


  • J. C. H. Jones
  • J. A. Schofield
  • D. E. A. Giles


This paper reports the results of estimating a single equation model of an attendance function for British Rugby League over the seasons 1982/83 to 1990/91. The data are panel data covering virtually every team which played in the two division league over the nine year time period. Diagnostic tests indicate that the appropriate model is a semilog random effects model, where the dependent variable is league attendance weighted by population. The major results are as follows: there are significant positive relationships between league attendance and various measures of team success (although the direction of causality is moot), team quality (as proxied by the two divisions) and the economic quality of team location (as proxied by the unemployment rate); but there is no discernible relationship between league attendance and either success in nonleague trophy competitions or measures of exceptional player quality.

Suggested Citation

  • J. C. H. Jones & J. A. Schofield & D. E. A. Giles, 2000. "Our fans in the north: the demand for British Rugby League," Applied Economics, Taylor & Francis Journals, vol. 32(14), pages 1877-1887.
  • Handle: RePEc:taf:applec:v:32:y:2000:i:14:p:1877-1887
    DOI: 10.1080/000368400425099

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    References listed on IDEAS

    1. 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.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
    3. Angelo Cocco & J. C. H. Jones, 1997. "On going south: the economics of survival and relocation of small market NHL franchises in Canada," Applied Economics, Taylor & Francis Journals, vol. 29(11), pages 1537-1552.
    4. Karlsson, Sune & Lothgren, Mickael, 2000. "On the power and interpretation of panel unit root tests," Economics Letters, Elsevier, vol. 66(3), pages 249-255, March.
    5. 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.
    6. Mark Baimbridge & Samuel Cameron & Peter Dawson, 1995. "Satellite broadcasting and match attendance: the case of rugby league," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 343-346.
    7. Wirjanto, T. S., 1996. "The limiting distributions of unit-root tests for data with cross-sectional and time-series dimensions," Statistics & Probability Letters, Elsevier, vol. 30(1), pages 73-77, September.
    8. Jones, J C H & Ferguson, D G, 1988. "Location and Survival in the National Hockey League," Journal of Industrial Economics, Wiley Blackwell, vol. 36(4), pages 443-457, June.
    9. Peter J. Sloane, 2000. "The Regulation of Professional Team Sports," IASE Conference Papers 0003, International Association of Sports Economists.
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    Cited by:

    1. Young Hoon Lee & Rodney Fort, 2011. "Competitive Balance:Time Series Lessons from the English Premier League," Working Papers 1102, Research Institute for Market Economy, Sogang University, revised Jun 2011.
    2. Julian Blackham & Bruce Chapman, 2004. "The Value Of Don Bradman: Additional Revenue In Australian Ashes Tests," Economic Papers, The Economic Society of Australia, vol. 23(4), pages 369-385, December.
    3. 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.
    4. Markus Breuer, 2009. "The demand for football tickets depending on the number of clubs in a city – Empirical evidence from Germany –," Working Papers 2009.5, International Network for Economic Research - INFER.
    5. Nicholas King & P. Dorian Owen & Rick Audas, 2012. "Playoff Uncertainty, Match Uncertainty and Attendance at Australian National Rugby League Matches," The Economic Record, The Economic Society of Australia, vol. 88(281), pages 262-277, June.

    More about this item

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models


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