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Statistical Modelling of Second Round Qualification at FIFA World Cup Tournaments

Author

Listed:
  • Afees A. Salisu

    (Centre for Econometric and Allied Research, University of Ibadan)

  • Ibrahim D. Raheem

    (School of Economics, University of Kent, Canterbury, UK)

Abstract

In this paper, we model the predictors of second round qualification at FIFA World Cup tournaments. We utilize data covering the last four tournaments namely 2002, 2006, 2010 and 2014. We employ the methodology of Norton et al. (2004) to estimate the predictors. Also, we establish how the significance of these predictors differs across the participating continents. In addition, we determine the likelihood of single continent and continent pair dominance in the second round stage. We hope to revisit these findings as new rules unfold and notable changes that may alter the existing trend become evident.

Suggested Citation

  • Afees A. Salisu & Ibrahim D. Raheem, 2017. "Statistical Modelling of Second Round Qualification at FIFA World Cup Tournaments," Working Papers 027, Centre for Econometric and Allied Research, University of Ibadan.
  • Handle: RePEc:cui:wpaper:0027
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    References listed on IDEAS

    as
    1. Alexander Rathke & Ulrich Woitek, 2007. "Economics and Olympics: An Efficiency Analysis," IEW - Working Papers 313, Institute for Empirical Research in Economics - University of Zurich.
    2. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    FIFA; World cup; Second round qualification; Binary Choice Model (BCM);
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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