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Efficiency measurement of the English football Premier League with a random frontier model

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  • Barros, Carlos Pestana
  • Garcia-del-Barrio, Pedro

Abstract

Using the random stochastic frontier model, this paper examines the technical efficiency of the English football Premier League from 1998/99 to 2003/04. The model disentangles homogenous and heterogeneous variables in the cost function, which leads us to advise the implementation of common policies as well as policies by clusters.

Suggested Citation

  • Barros, Carlos Pestana & Garcia-del-Barrio, Pedro, 2008. "Efficiency measurement of the English football Premier League with a random frontier model," Economic Modelling, Elsevier, vol. 25(5), pages 994-1002, September.
  • Handle: RePEc:eee:ecmode:v:25:y:2008:i:5:p:994-1002
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    References listed on IDEAS

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    Cited by:

    1. Kostas Kounetas, 2014. "Greek football clubs’ efficiency before and after Euro 2004 Victory: a bootstrap approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(4), pages 623-645, December.
    2. 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.
    3. Fiona Carmichael & Dennis Thomas, 2014. "Team performance: production and efficiency in football," Chapters,in: Handbook on the Economics of Professional Football, chapter 10, pages 143-165 Edward Elgar Publishing.
    4. Jardin, Mathieu, 2009. "Efficiency of French football clubs and its dynamics," MPRA Paper 19828, University Library of Munich, Germany.
    5. Stephan Nüesch, 2009. "A note on the endogeneity of the pay-performance relationship in professional soccer," Economics Bulletin, AccessEcon, vol. 29(3), pages 1850-1855.
    6. Arjomandi, Amir & Seufert, Juergen Heinz, 2014. "An evaluation of the world's major airlines' technical and environmental performance," Economic Modelling, Elsevier, vol. 41(C), pages 133-144.
    7. Carlos Pestana Barros & Eduardo Couto & Antonio Samagaio, 2014. "Management ability, strategy, tactics and team performance," Chapters,in: Handbook on the Economics of Professional Football, chapter 11, pages 166-188 Edward Elgar Publishing.
    8. repec:sgh:gosnar:y:2017:i:2:p:69-99 is not listed on IDEAS
    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. Torben Tiedemann & Tammo Francksen & Uwe Latacz-Lohmann, 2011. "Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 571-587, December.
    11. Tim R. L. Fry & Guillaume Galanos & Alberto Posso, 2014. "Let's Get Messi? Top-Scorer Productivity in the European Champions League," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(3), pages 261-279, July.
    12. Carlos Pestana Barros & Zhongfei Chen & Peter Wanke, 2016. "Efficiency in Chinese seaports: 2002–2012," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(3), pages 295-316, September.
    13. Andrés Picazo-Tadeo & Francisco González-Gómez, 2010. "Does playing several competitions influence a team’s league performance? Evidence from Spanish professional football," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(3), pages 413-432, September.

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