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Doping und Wettbewerbsintensität

Author

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  • Alexander Dilger
  • Frank Tolsdorf

Abstract

There are systematic incentives to dope within the structure of sports tournaments. A simple decision theory model demonstrates the nature of these incentives and the circumstances in which they are particularly strong. From this model, some empirically testable hypotheses are derived. The most important one, that greater competition between athletes induces more doping, is corroborated by comparing the competitiveness and number of caught dopers in thirteen different athletic sports. The lack of other significant findings may be explained by the decisive role of competitiveness which is more powerful than all other effects and is also a central element of them.

Suggested Citation

  • Alexander Dilger & Frank Tolsdorf, 2010. "Doping und Wettbewerbsintensität," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 130(1), pages 95-116.
    • Handle: RePEc:aeq:aeqsjb:v130_y2010_i1_q1_p95-116
    DOI: 10.3790/schm.130.1.95
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    Citations

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    Cited by:

    1. Müller, Daniel, 2013. "The Doping Threshold in Sport Contests," Working papers 2013/05, Faculty of Business and Economics - University of Basel.
    2. 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.
    3. Dilger, Alexander, 2014. "Die Bedeutung des Wettbewerbs in Wissenschaft und Hochschule," Discussion Papers of the Institute for Organisational Economics 8/2014, University of Münster, Institute for Organisational Economics.

    More about this item

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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