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Technical Efficiency in the Major League Soccer

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  • Dieter J. Haas

Abstract

Taking data for the year 2000 season the technical efficiency of soccer teams in the Major League Soccer is measured by Data Envelopment Analysis (DEA). The inputs used by the teams are approached by the variables players' wage bill and wage of the head coach. Output is measured by points awarded, absolute number of spectators, and revenues. Efficiency scores are highly correlated with performance in the league, and when decomposing inefficiency into technical inefficiency and scale inefficiency it can be shown that the largest part of inefficiency can be explained by suboptimal scale of production.

Suggested Citation

  • Dieter J. Haas, 2003. "Technical Efficiency in the Major League Soccer," Journal of Sports Economics, , vol. 4(3), pages 203-215, August.
    • Handle: RePEc:sae:jospec:v:4:y:2003:i:3:p:203-215
    DOI: 10.1177/1527002503252144
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    References listed on IDEAS

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    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. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. repec:dgr:rugsom:00f40 is not listed on IDEAS
    4. 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.
    5. Stefan Szymanski & Ron Smith, 2010. "The English Football Industry: Profit, Performance and Industrial Structure," Palgrave Macmillan Books, in: Football Economics and Policy, chapter 1, pages 1-26, Palgrave Macmillan.
    6. Sueyoshi, Toshiyuki & Ohnishi, Kenji & Kinase, Youichi, 1999. "A benchmark approach for baseball evaluation," European Journal of Operational Research, Elsevier, vol. 115(3), pages 429-448, June.
    7. Clement, Robert C & McCormick, Robert E, 1989. "Coaching Team Production," Economic Inquiry, Western Economic Association International, vol. 27(2), pages 287-304, April.
    8. Timothy Anderson & Gunter Sharp, 1997. "A new measure of baseball batters using DEA," Annals of Operations Research, Springer, vol. 73(0), pages 141-155, October.
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