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Econometric modelling of match results and scores

In: Handbook on the Economics of Professional Football

Author

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  • Ian McHale
  • Rose Baker

Abstract

In this comprehensive Handbook, John Goddard and Peter Sloane present a collection of analytical contributions by internationally regarded scholars in the field, which extensively examine the many economic challenges facing the world's most popular team sport.

Suggested Citation

  • Ian McHale & Rose Baker, 2014. "Econometric modelling of match results and scores," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 9, pages 130-140, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14821_9
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    File URL: https://www.elgaronline.com/view/9781781003169.00015.xml
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    References listed on IDEAS

    as
    1. Ioannis Asimakopoulos & John Goddard, 2004. "Forecasting football results and the efficiency of fixed-odds betting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(1), pages 51-66.
    2. Forrest, David & Simmons, Robert, 2000. "Forecasting sport: the behaviour and performance of football tipsters," International Journal of Forecasting, Elsevier, vol. 16(3), pages 317-331.
    3. Forrest, David & Goddard, John & Simmons, Robert, 2005. "Odds-setters as forecasters: The case of English football," International Journal of Forecasting, Elsevier, vol. 21(3), pages 551-564.
    4. Gianluca Baio & Marta Blangiardo, 2010. "Bayesian hierarchical model for the prediction of football results," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(2), pages 253-264.
    5. Goddard, John, 2005. "Regression models for forecasting goals and match results in association football," International Journal of Forecasting, Elsevier, vol. 21(2), pages 331-340.
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