IDEAS home Printed from https://ideas.repec.org/p/zbw/umiodp/62017.html
   My bibliography  Save this paper

Doping in teams: A simple decision theoretic model
[Doping in Teams: Ein einfaches entscheidungstheoretisches Modell]

Author

Listed:
  • Dilger, Alexander

Abstract

A simple decision theoretic model shows the doping incentives for a member of a professional sports team. Depending on the detection probability and the punishment, a sportsman dopes not at all, at a medium or at the maximal level. The whole team has a higher incentive than an individual team member that at least some of its members dope. That there are not many proven cases of doping in team sports could be because doping is less effective or because the incentives to cover it are higher than in individual sports.

Suggested Citation

  • Dilger, Alexander, 2017. "Doping in teams: A simple decision theoretic model [Doping in Teams: Ein einfaches entscheidungstheoretisches Modell]," Discussion Papers of the Institute for Organisational Economics 6/2017, University of Münster, Institute for Organisational Economics.
  • Handle: RePEc:zbw:umiodp:62017
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/165998/1/894582534.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David J. Berri & Anthony C. Krautmann, 2006. "Shirking on the Court: Testing for the Incentive Effects of Guaranteed Pay," Economic Inquiry, Western Economic Association International, vol. 44(3), pages 536-546, July.
    2. Alexander Dilger & Bernd Frick & Frank Tolsdorf, 2007. "Are Athletes Doped? Some Theoretical Arguments And Empirical Evidence," Contemporary Economic Policy, Western Economic Association International, vol. 25(4), pages 604-615, October.
    3. Kjetil K. Haugen, 2004. "The Performance-Enhancing Drug Game," Journal of Sports Economics, , vol. 5(1), pages 67-86, February.
    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. Dilger, Alexander, 2021. "Cheating alone and in teams," Discussion Papers of the Institute for Organisational Economics 1/2021, University of Münster, Institute for Organisational Economics.

    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. Tom Coupé & Olivier Gergaud, 2013. "Suspicious Blood and Performance in Professional Cycling," Journal of Sports Economics, , vol. 14(5), pages 546-559, October.
    2. David Hirschmann, 2017. "May Increasing Doping Sanctions Discourage Entry to the Competition?," Journal of Sports Economics, , vol. 18(7), pages 720-736, October.
    3. Nicolas Eber, 2012. "Doping and Anti-doping Measures," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 12, Edward Elgar Publishing.
    4. Dmitry Ryvkin, 2013. "Contests With Doping," Journal of Sports Economics, , vol. 14(3), pages 253-275, June.
    5. Deepak Dhayanithy, 2013. "Patterns Of Ped2 Test Sanctions In Professional Sports – Baseline And Implications For Research," Working papers 122, Indian Institute of Management Kozhikode.
    6. Edward Cartwright, 2019. "Guilt Aversion and Reciprocity in the Performance-Enhancing Drug Game," Journal of Sports Economics, , vol. 20(4), pages 535-555, May.
    7. Vijay Mohan & Bharat Hazari, 2016. "Cheating in Contests," Journal of Sports Economics, , vol. 17(7), pages 736-747, October.
    8. Mohan, Vijay, 2019. "On the use of blockchain-based mechanisms to tackle academic misconduct," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    9. Tom Coupe & Olivier Gergaud, 2011. "Suspicious Blood and Performance in the 2010 Tour de France," Discussion Papers 43, Kyiv School of Economics.
    10. Daniel Weimar & Katrin Scharfenkamp, 2019. "Effort reduction of employer‐to‐employer changers: Empirical evidence from football," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(3), pages 277-291, April.
    11. Wu, Qin & Bayer, Ralph-C & Lenten, Liam J.A., 2020. "Conditional Pension Funds to Combat Cheating in Sporting Contests: Theory and Experimental Evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    12. Joshua M. Congdon-Hohman & Jonathan A. Lanning, 2018. "Beyond Moneyball," Journal of Sports Economics, , vol. 19(7), pages 1046-1061, October.
    13. Müller, Daniel, 2013. "The Doping Threshold in Sport Contests," Working papers 2013/05, Faculty of Business and Economics - University of Basel.
    14. Holger Strulik, 2012. "Riding High: Success in Sports and the Rise of Doping Cultures," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(2), pages 539-574, June.
    15. Berno Buechel & Eike Emrich & Stefanie Pohlkamp, 2016. "Nobody’s Innocent," Journal of Sports Economics, , vol. 17(8), pages 767-789, December.
    16. Shmanske Stephen, 2011. "Dynamic Effort, Sustainability, Myopia, and 110% Effort," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(2), pages 1-19, May.
    17. Furmaco, L. & Longley, N. & Palermo, A. & Rossi, G., 2021. "Employees’ Performance Variation over Fixed-Term Contracts - Evidence from the National Hockey League," Working Papers 2107, Tulane University, Department of Economics.
    18. Fumarco, Luca & Longley, Neil & Palermo, Alberto & Rossi, Giambattista, 2024. "Strategic Behaviours in a Labour Market with Mobility-Restricting Contractual Provisions: Evidence from the National Hockey League," GLO Discussion Paper Series 1401, Global Labor Organization (GLO).
    19. Paul O’Sullivan, 2015. "Asymmetric Doping Effects and Sanctions in Sporting Contests," Economics Department Working Paper Series n262-15.pdf, Department of Economics, National University of Ireland - Maynooth.
    20. Andreas Goetsch & Christian Salzmann, 2019. "The Impact of Contest Dynamics on Ex Post Doping Audits," Journal of Sports Economics, , vol. 20(3), pages 411-427, April.

    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z20 - Other Special Topics - - Sports Economics - - - General
    • Z22 - Other Special Topics - - Sports Economics - - - Labor Issues

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:umiodp:62017. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/ilmuede.html .

    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.