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Explaining International Soccer Rankings

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Author Info

  • Peter Macmillan
  • Ian Smith

Abstract

Existing research on the determinants of FIFA’s international soccer rankings suffers from serious statistical problems, particularly sample selection bias and non normal errors. We correct for this by extending the data set by an additional 100 countries. Furthermore, we find important roles for new variables in the form of the size of population and a long history of international soccer in explaining world football rankings. We also investigate the determinants of an alternative ranking measure to that constructed by FIFA.

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Bibliographic Info

Paper provided by Centre for Research into Industry, Enterprise, Finance and the Firm in its series CRIEFF Discussion Papers with number 0612.

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Date of creation: Dec 2006
Date of revision:
Handle: RePEc:san:crieff:0612

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Keywords: international football rankings; history.;

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References

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  1. Daniel K. N. Johnson & Ayfer Ali, 2004. "A Tale of Two Seasons: Participation and Medal Counts at the Summer and Winter Olympic Games," Social Science Quarterly, Southwestern Social Science Association, vol. 85(4), pages 974-993.
  2. Robert Hoffmann & Lee Chew Ging & Bala Ramasamy, 2002. "The Socio-Economic Determinants of International Soccer Performance," Journal of Applied Economics, Universidad del CEMA, vol. 0, pages 253-272, November.
  3. Andrew B. Bernard & Meghan R. Busse, 2004. "Who Wins the Olympic Games: Economic Resources and Medal Totals," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 413-417, February.
  4. Benno Torgler, 2004. "The Economics of the FIFA Football Worldcup," Kyklos, Wiley Blackwell, vol. 57(2), pages 287-300, 05.
  5. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
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Cited by:
  1. Robert Gasquez & Vicente Royuela, 2012. "Is football an indicator of development at the international level?," Working Papers in Economics 275, Universitat de Barcelona. Espai de Recerca en Economia.
  2. McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630, April.
  3. Egon Franck & Stephan Nüesch, 2007. "The Role of Patriotism in Explaining TV Audience of National Team Games - Evidence from Four International Tournaments," Working Papers 0065, University of Zurich, Institute for Strategy and Business Economics (ISU).
  4. van Ours, Jan C. & Van Tuijl, Martin, 2010. "Country-specific goal-scoring in the "dying-seconds" of international football matches," CEPR Discussion Papers 7873, C.E.P.R. Discussion Papers.
  5. van Ours, Jan C. & van Tuijl, Martin A., 2010. "Country-Specific Goal-Scoring in the "Dying Seconds" of International Football Matches," IZA Discussion Papers 4970, Institute for the Study of Labor (IZA).
  6. Henseke, Golo, 2009. "Country performance at the International Mathematical Olympiad," Thuenen-Series of Applied Economic Theory 108, University of Rostock, Institute of Economics.

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