IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v11y2010i6p641-651.html
   My bibliography  Save this article

Research Note: Brazilian Football League Technical Efficiency: A Simar and Wilson Approach

Author

Listed:
  • Carlos Pestana Barros

    () (Instituto Superior de Economia e Gesta˜o, Technical University of Lisbon Rua Miguel Lupi, 20, 1249-078 Lisbon, Portugal)

  • Albert Assaf

    (Isenberg School of Management, University of Massachusetts, Amherst, MA, USA)

  • Fabio Sai-Earp

    (Department of Economics, University of Rio de Janeiro, Brazil)

Abstract

This article introduces the Data Envelopment Analysis (DEA) bootstrap procedure to analyze the technical efficiency of Brazilian first league football clubs. For comparison purpose the study also estimates the efficiency scores with the traditional DEA model. From the results, it is clear that there is a significant difference between the efficiency scores derived from the traditional DEA and the bootstrap DEA models. In terms of the average performance of the Brazilian league, both methods indicate that the Brazilian clubs operate at a high level of inefficiency. Factors that contributed to these results as well as other policy implications are provided.

Suggested Citation

  • Carlos Pestana Barros & Albert Assaf & Fabio Sai-Earp, 2010. "Research Note: Brazilian Football League Technical Efficiency: A Simar and Wilson Approach," Journal of Sports Economics, , vol. 11(6), pages 641-651, December.
  • Handle: RePEc:sae:jospec:v:11:y:2010:i:6:p:641-651
    as

    Download full text from publisher

    File URL: http://jse.sagepub.com/content/11/6/641.abstract
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hall, Robert E, 1978. "Stochastic Implications of the Life Cycle-Permanent Income Hypothesis: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 971-987, December.
    2. John M. Gandar & William H. Dare & Craig R. Brown & Richard A. Zuber, 1998. "Informed Traders and Price Variations in the Betting Market for Professional Basketball Games," Journal of Finance, American Finance Association, vol. 53(1), pages 385-401, February.
    3. W. David Walls, 1995. "An Econometric Analysis of the Market for Natural Gas Futures," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 71-84.
    4. Sauer, Raymond D, et al, 1988. "Hold Your Bets: Another Look at the Efficiency of the Gambling Market for National Football League Games: Comment," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 206-213, February.
    5. McCullough, B. D., 1997. "An analysis of stock market transactions data," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(4), pages 887-903.
    6. Russo, Benjamin & Gandar, John M. & Zuber, Richard A., 1989. "Market rationality tests based on cross-equation restrictions," Journal of Monetary Economics, Elsevier, vol. 24(3), pages 455-470, November.
    7. Gray, Philip K & Gray, Stephen F, 1997. " Testing Market Efficiency: Evidence from the NFL Sports Betting Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1725-1737, September.
    8. Blum, U. & Dudley, L., 1990. "A Spatial Model of the State," Cahiers de recherche 9030, Universite de Montreal, Departement de sciences economiques.
    9. Gandar, John, et al, 1988. " Testing Rationality in the Point Spread Betting Market," Journal of Finance, American Finance Association, vol. 43(4), pages 995-1008, September.
    10. Losey, Robert L & Talbott, John C, Jr, 1980. " Back on the Track with the Efficient Markets Hypothesis," Journal of Finance, American Finance Association, vol. 35(4), pages 1039-1043, September.
    11. Ederington, Louis H. & Huang, Chao-Hsi, 1995. "Parameter uncertainty and the rational expectations model of the term structure," Journal of Banking & Finance, Elsevier, vol. 19(2), pages 207-223, May.
    12. Woodland, Bill M & Woodland, Linda M, 1991. "The Effects of Risk Aversion on Wagering: Point Spread versus Odds," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 638-653, June.
    13. Zuber, Richard A & Gandar, John M & Bowers, Benny D, 1985. "Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games," Journal of Political Economy, University of Chicago Press, vol. 93(4), pages 800-806, August.
    14. Golec, Joseph & Tamarkin, Maurry, 1991. "The degree of inefficiency in the football betting market : Statistical tests," Journal of Financial Economics, Elsevier, vol. 30(2), pages 311-323, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    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. Wijesiri, Mahinda & Viganò, Laura & Meoli, Michele, 2015. "Efficiency of microfinance institutions in Sri Lanka: a two-stage double bootstrap DEA approach," Economic Modelling, Elsevier, vol. 47(C), pages 74-83.
    5. 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.
    6. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jospec:v:11:y:2010:i:6:p:641-651. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publications). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.