IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-17-00362.html
   My bibliography  Save this article

Are Forfeitures of Olympic Medals Predictable? – A Test of the Efficiency of the International Anti-Doping System

Author

Listed:
  • Eike Emrich

    (Saarland University)

  • Freya Gassmann

    (Saarland University)

  • Christian Pierdzioch

    (Helmut-Schmidt-University Hamburg)

Abstract

Modeling national Olympic medal counts has received much attention in recent research. National Olympic medal counts, however, may change after the event as a result of the fight against doping. We show for the Olympic Games that took place in Beijing 2008 that ex-post forfeitures of Olympic medals are predictable, at the aggregate level, using standard variables commonly used in earlier research to model national Olympic medal counts. The predictability of forfeitures of Olympic medal casts doubts that the international anti-doping system works efficiently

Suggested Citation

  • Eike Emrich & Freya Gassmann & Christian Pierdzioch, 2017. "Are Forfeitures of Olympic Medals Predictable? – A Test of the Efficiency of the International Anti-Doping System," Economics Bulletin, AccessEcon, vol. 37(3), pages 1620-1623.
  • Handle: RePEc:ebl:ecbull:eb-17-00362
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2017/Volume37/EB-17-V37-I3-P148.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Forrest, David & Sanz, Ismael & Tena, J.D., 2010. "Forecasting national team medal totals at the Summer Olympic Games," International Journal of Forecasting, Elsevier, vol. 26(3), pages 576-588, July.
    2. Christian Pierdzioch & Eike Emrich, 2013. "A Note on Corruption and National Olympic Success," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 41(4), pages 405-411, December.
    3. Andrew B. Bernard & Meghan R. Busse, 2004. "Who Wins the Olympic Games: Economic Resources and Medal Totals," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 413-417, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Franklin G. Mixon Jr. & Richard J. Cebula, 2022. "Property Rights Freedom and Innovation: Eponymous Skills in Women's Gymnastics," Journal of Sports Economics, , vol. 23(4), pages 407-430, May.
    2. Pedro Garcia‐del‐Barrio & Carlos Gomez‐Gonzalez & José Manuel Sánchez‐Santos, 2020. "Popularity and Visibility Appraisals for Computing Olympic Medal Rankings," Social Science Quarterly, Southwestern Social Science Association, vol. 101(5), pages 2137-2157, September.
    3. Wladimir Andreff, 2012. "Is Hosting the Games Enough to Win? A predictive economic model of medal wins at 2014 Winter Olympics," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00794057, HAL.
    4. Carl Singleton & J. James Reade & Johan Rewilak & Dominik Schreyer, 2021. "How big is home advantage at the Olympic Games?," Economics Discussion Papers em-dp2021-13, Department of Economics, University of Reading.
    5. Martin Grancay & Tomas Dudas, 2018. "Olympic Medals, Economy, Geography and Politics from Sydney to Rio," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 409-441, Spring.
    6. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. David Forrest & J. D. Tena & Carlos Varela-Quintana, 2023. "The influence of schooling on performance in chess and at the Olympics," Empirical Economics, Springer, vol. 64(2), pages 959-982, February.
    8. David Forrest & Adams Ceballos & Ramón Flores & Ian G. McHale & Ismael Sanz & J.D. Tena, 2012. "Explaining and Forecasting National Team Medals Totals at the Summer Olympic Games," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 13, Edward Elgar Publishing.
    9. Christoph Schlembach & Sascha L. Schmidt & Dominik Schreyer & Linus Wunderlich, 2020. "Forecasting the Olympic medal distribution during a pandemic: a socio-economic machine learning model," Papers 2012.04378, arXiv.org, revised Jun 2021.
    10. Yun Hyeong Choi & Qingyuan Wei & Luyao Zhang & Seong-Jin Choi, 2022. "The Impact of Cultural Distance on Performance at the Summer Olympic Games," SAGE Open, , vol. 12(1), pages 21582440221, March.
    11. Nicolas Scelles & Wladimir Andreff & Liliane Bonnal & Madeleine Andreff & Pascal Favard, 2020. "Forecasting National Medal Totals at the Summer Olympic Games Reconsidered," Social Science Quarterly, Southwestern Social Science Association, vol. 101(2), pages 697-711, March.
    12. Johan Rewilak, 2021. "The (non) determinants of Olympic success," Journal of Sports Economics, , vol. 22(5), pages 546-570, June.
    13. Wladimir Andreff, 2013. "Economic development as major determinant of Olympic medal wins: predicting performances of Russian and Chinese teams at Sochi Games," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00971788, HAL.
    14. Kufenko, Vadim & Geloso, Vincent, 2021. "Who are the champions? Inequality, economic freedom and the Olympics," Journal of Institutional Economics, Cambridge University Press, vol. 17(3), pages 411-427, June.
    15. Javier Otamendi & Luis M. Doncel, 2014. "Medal Shares in Winter Olympic Games by Sport: Socioeconomic Analysis After Vancouver 2010," Social Science Quarterly, Southwestern Social Science Association, vol. 95(2), pages 598-614, June.
    16. Aaron Lowen & Robert O. Deaner & Erika Schmitt, 2016. "Guys and Gals Going for Gold," Journal of Sports Economics, , vol. 17(3), pages 260-285, April.
    17. David M. Waguespack & Robert Salomon, 2016. "Quality, Subjectivity, and Sustained Superior Performance at the Olympic Games," Management Science, INFORMS, vol. 62(1), pages 286-300, January.
    18. repec:lic:licosd:26510 is not listed on IDEAS
    19. Jie Wu & Zhixiang Zhou & Liang Liang, 2010. "Measuring the Performance of Nations at Beijing Summer Olympics Using Integer-Valued DEA Model," Journal of Sports Economics, , vol. 11(5), pages 549-566, October.
    20. Joshua Aizenman & Ilan Noy, 2007. "Prizes for basic research: Human capital, economic might and the shadow of history," Journal of Economic Growth, Springer, vol. 12(3), pages 261-282, September.
    21. Michael A. Leeds & Eva Marikova Leeds, 2009. "International Soccer Success and National Institutions," Journal of Sports Economics, , vol. 10(4), pages 369-390, August.

    More about this item

    Keywords

    Olympic medal counts; Forfeitures of medals; Doping; Predictability;
    All these keywords.

    JEL classification:

    • Z1 - Other Special Topics - - Cultural Economics
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ebl:ecbull:eb-17-00362. See general information about how to correct material in RePEc.

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.