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Economics of Sports: A Note to this Special Issue

Author

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  • Torgler, Benno

    (School of Economics and Finance, Queensland University of Technology, 2 George Street, GPO Box 2434, Brisbane QLD 4001, Australia)

Abstract

The expansion of economics to other spheres of life, including politics, war, crime, religion, or in particular sports can be seen in line with Hirshleifer (2002) as a breath of fresh air in economics. Although one can always criticize the generalizability of results developed with sports data, sporting events can still be seen as economic (miniature) environments. There is no reason not to acknowledge that athletes, for example, behave according to two key elements in economics, namely incentives and constraints. Focal economic concepts such as prices, opportunity costs or property rights can be nicely investigated in sports markets and are supposed to drive the behaviour of their key actors. An essential strength of sports events is the fact that they take place in a controlled environment generating therefore outcomes that come very close to holding other things equal, providing therefore a real-world laboratory for testing economic theories. Researchers have the chance of working with highly reliable data (low variable errors) and reduced omitted variables biases. The advantages can be visualized using the Tour de France as an example. The ranking of a cyclist at the Tour de France, his performance in the mountains or the time trials are clearly observable and are free of discrepancies compared to well known and often used traditional economic variables such as GDP or CPI. Statistics can be adjusted based on the outside conditions (stadium, weather conditions etc.). A Tour de France takes place in a controlled environment. All riders perform in the same terrain at the same time with the same outside restrictions such as the weather. Further external influences are controlled by the rules (law) of the event, as they are the same for all riders. Thus, many factors can be held constant and therefore the situation is much like a controlled environment. Even though a cycling event allows social and economic interactions and is thus less controlled than a laboratory experiment one of the main advantages is that the participation evokes actual and real processes (e.g., strong monetary incentives) in an environment outside a laboratory setting (Goff and Tollison 1990).

Suggested Citation

  • Torgler, Benno, 2009. "Economics of Sports: A Note to this Special Issue," Economic Analysis and Policy, Elsevier, vol. 39(3), pages 333-336, December.
  • Handle: RePEc:eee:ecanpo:v39:y:2009:i:3:p:333-336
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    Citations

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    Cited by:

    1. Chan, Ho Fai & Ulrich, Fabian & Altman, Hannah & Schmidt, Sascha L. & Schreyer, Dominik & Torgler, Benno, 2022. "Beyond performance? The importance of subjective and objective physical appearance in award nominations and receptions in football," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 271-289.
    2. Ho Fai Chan & David A. Savage & Benno Torgler, 2021. "Sport as a Behavioral Economics Lab," CREMA Working Paper Series 2021-20, Center for Research in Economics, Management and the Arts (CREMA).
    3. Chan, Ho Fai & Savage, David A. & Torgler, Benno, 2019. "There and back again: Adaptation after repeated rule changes of the game," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    4. Ashby, Nathan J. & Ramos, Miguel A., 2023. "Productivity within groups: An analysis of shirking in high school cross country competitions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 106(C).

    More about this item

    Keywords

    doping; economics of sport; illegal activities;
    All these keywords.

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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