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Determinants of football transfers


  • Hans van Ophem

    (University of Amsterdam)

  • Jeroen Ruijg

    (University of Amsterdam)


The analysis of football transfers is hampered by selectivity bias. In most empirical estimations, simple regression is used and selectivity is ignored. In this paper we propose an estimation method that corrects for sample selectivity and allows the use of more observations in a simple manner. The ordered probit estimates point in a similar direction as the estimates from commonly applied estimation techniques but the significance is higher.

Suggested Citation

  • Hans van Ophem & Jeroen Ruijg, 2014. "Determinants of football transfers," UvA-Econometrics Working Papers 14-01, Universiteit van Amsterdam, Dept. of Econometrics.
  • Handle: RePEc:ame:wpaper:1401

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    References listed on IDEAS

    1. Bernd Frick, 2007. "The Football Players' Labor Market: Empirical Evidence From The Major European Leagues," Scottish Journal of Political Economy, Scottish Economic Society, vol. 54(3), pages 422-446, July.
    2. Stephen Dobson & Bill Gerrard & Simon Howe, 2000. "The determination of transfer fees in English nonleague football," Applied Economics, Taylor & Francis Journals, vol. 32(9), pages 1145-1152.
    3. Carmichael, Fiona & Forrest, David & Simmons, Robert, 1999. "The Labour Market in Association Football: Who Gets Transferred and For How Much?," Bulletin of Economic Research, Wiley Blackwell, vol. 51(2), pages 125-150, April.
    4. Alan Speight & Dennis Thomas, 1997. "Football league transfers: a comparison of negotiated fees with arbitration settlements," Applied Economics Letters, Taylor & Francis Journals, vol. 4(1), pages 41-44.
    5. Bill Gerrard & Steve Dobson, 2000. "Testing for monopoly rents in the market for playing talent – Evidence from English professional football," Journal of Economic Studies, Emerald Group Publishing, vol. 27(3), pages 142-164, September.
    6. Simon Medcalfe, 2008. "English league transfer prices: is there a racial dimension? A re-examination with new data," Applied Economics Letters, Taylor & Francis Journals, vol. 15(11), pages 865-867.
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