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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

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    3. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
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    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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