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Productive efficiency of English football teams-a data envelopment analysis approach

Author

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  • Dieter J. Haas

    (Institute of Public Finance, University of Innsbruck, Austria)

Abstract

This paper investigates how close to their potential English Premier League Clubs play. Using a deterministic Data Envelopment Analysis Approach, the productive efficiency of 20 teams in the 2000|2001 season is measured and weaknesses of individual teams are disclosed. The sensitivity of results is analyzed with regard to different model specifications and variable combinations. Copyright © 2003 John Wiley & Sons, Ltd.

Suggested Citation

  • Dieter J. Haas, 2003. "Productive efficiency of English football teams-a data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(5), pages 403-410.
  • Handle: RePEc:wly:mgtdec:v:24:y:2003:i:5:p:403-410
    DOI: 10.1002/mde.1105
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    File URL: http://hdl.handle.net/10.1002/mde.1105
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    References listed on IDEAS

    as
    1. Koning, R.H., 2000. "An econometric evaluation of the firing of a coach on team performance," Research Report 00F40, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    2. repec:dgr:rugsom:00f40 is not listed on IDEAS
    3. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    4. Clement, Robert C & McCormick, Robert E, 1989. "Coaching Team Production," Economic Inquiry, Western Economic Association International, vol. 27(2), pages 287-304, April.
    5. Dawson, Peter & Dobson, Stephen & Gerrard, Bill, 2000. "Estimating Coaching Efficiency in Professional Team Sports: Evidence from English Association Football," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(4), pages 399-421, September.
    6. Hofler, Richard A. & Payne, James E., 1997. "Measuring efficiency in the National Basketball Association1," Economics Letters, Elsevier, vol. 55(2), pages 293-299, August.
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    Cited by:

    1. repec:qut:dpaper:282 is not listed on IDEAS
    2. Halkos, George & Tzeremes, Nickolaos, 2011. "Applying conditional DEA to measure football clubs’ performance: Evidence from the top 25 European clubs," MPRA Paper 31278, University Library of Munich, Germany.
    3. Halkos, George & Tzeremes, Nickolaos, 2011. "A non-parametric analysis of the efficiency of the top European football clubs," MPRA Paper 31173, University Library of Munich, Germany.
    4. Antonio Samagaio & Eduardo Couto & Jorge Caiado, 2009. "Sporting, financial and stock market performance in English football: an empirical analysis of structural relationships," CEMAPRE Working Papers 0906, Centre for Applied Mathematics and Economics (CEMAPRE), School of Economics and Management (ISEG), Technical University of Lisbon.
    5. repec:sgh:gosnar:y:2017:i:2:p:69-99 is not listed on IDEAS
    6. Debnath Roma Mitra & Malhotra Ashish, 2015. "Measuring Efficiency of Nations in Multi Sport Events: A case of Commonwealth Games XIX," Naše gospodarstvo/Our economy, De Gruyter Open, vol. 61(1), pages 25-36, March.
    7. Jardin, Mathieu, 2009. "Efficiency of French football clubs and its dynamics," MPRA Paper 19828, University Library of Munich, Germany.
    8. Manuel Espitia-Escuer & Lucia Isabel Garcia-Cebrián, 2010. "Measurement of the efficiency of football teams in the Champions League," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 373-386.
    9. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
    10. Anthony Glass & Karligash Kenjegalieva & Jason Taylor, 2015. "Game, set and match: evaluating the efficiency of male professional tennis players," Journal of Productivity Analysis, Springer, vol. 43(2), pages 119-131, April.
    11. Villa, G. & Lozano, S., 2016. "Assessing the scoring efficiency of a football match," European Journal of Operational Research, Elsevier, vol. 255(2), pages 559-569.

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