IDEAS home Printed from https://ideas.repec.org/a/aop/jijoes/v10y2021i1p53-70.html
   My bibliography  Save this article

Sports Market As A Data Source For Economics: With Special Emphasis On Betting And Fantasy Sports

Author

Listed:
  • Vojtech Kotrba

    (Prague University of Economics and Business)

  • Robert Holman

    (Prague University of Economics and Business)

Abstract

Data collection for verification of economic models is often not easy. Data coming from laboratories can be distorted in comparison to data from the real environment. The sports environment offers an interesting source of data for research not only on the field of labour economics, thanks to its extensive records of performance, wages, and market prices of individual athletes. Sports betting and fantasy sports further extend this potential towards consumers. Data from this environment allow better recognition of the users’ preferences, rational behaviour, or heuristics. This paper offers an outlining of the current state of economics focused on the use of the sports environment in research and shows some of the possibilities presented by sports betting and fantasy sports. As an example of that, the over-selection of athletes from the historically dominant teams in the fantasy league according to the Czech football competition in the season 2015-16 is investigated in the applied section. The results show the impact of this heuristic on the users’ decision-making.

Suggested Citation

  • Vojtech Kotrba & Robert Holman, 2021. "Sports Market As A Data Source For Economics: With Special Emphasis On Betting And Fantasy Sports," International Journal of Economic Sciences, European Research Center, vol. 10(1), pages 53-70, June.
    • Handle: RePEc:aop:jijoes:v:10:y:2021:i:1:p:53-70
    as

    Download full text from publisher

    File URL: https://eurrec.org/ijoes-article-116946
    Download Restriction: no
    File URL: https://eurrec.org/ijoes-article-116946?download=4
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bryson, Alex & Chevalier, Arnaud, 2015. "Is there a taste for racial discrimination amongst employers?," Labour Economics, Elsevier, vol. 34(C), pages 51-63.
    2. Asch, Peter & Malkiel, Burton G. & Quandt, Richard E., 1982. "Racetrack betting and informed behavior," Journal of Financial Economics, Elsevier, vol. 10(2), pages 187-194, July.
    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. Petr Malecek, 2021. "Effects Of Demographic Structure In Growth Accounting And Labour Market Decompositions," International Journal of Economic Sciences, European Research Center, vol. 10(2), pages 103-113, December.
    2. Petr Malecek, 2021. "Effects Of Demographic Structure In Growth Accounting And Labour Market Decompositions," International Journal of Economic Sciences, European Research Center, vol. 10(2), pages 104-114, December.

    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. Kevin Lang & Ariella Kahn-Lang Spitzer, 2020. "Race Discrimination: An Economic Perspective," Journal of Economic Perspectives, American Economic Association, vol. 34(2), pages 68-89, Spring.
    2. Johnnie Johnson & Alistair Bruce & Jiejun Yu, 2010. "The ordinal efficiency of betting markets: an exploded logit approach," Applied Economics, Taylor & Francis Journals, vol. 42(29), pages 3703-3709.
    3. Glenn Boyle & Graeme Guthrie & Luke Gorton, 2010. "Holding onto Your Horses: Conflicts of Interest in Asset Management," Journal of Law and Economics, University of Chicago Press, vol. 53(4), pages 689-713.
    4. Marco Ottaviani & Peter Norman Sørensen, 2009. "Surprised by the Parimutuel Odds?," American Economic Review, American Economic Association, vol. 99(5), pages 2129-2134, December.
    5. Ariane Charpin, 2018. "Tests des modèles de décision en situation de risque. Le cas des parieurs hippiques en France," Revue économique, Presses de Sciences-Po, vol. 69(5), pages 779-803.
    6. Piron, Robert & Smith, L. Ray, 1995. "Testing risklove in an experimental racetrack," Journal of Economic Behavior & Organization, Elsevier, vol. 27(3), pages 465-474, August.
    7. Brown, Lawrence D. & Lin, Yi, 2003. "Racetrack betting and consensus of subjective probabilities," Statistics & Probability Letters, Elsevier, vol. 62(2), pages 175-187, April.
    8. Carrillo, Juan & Brocas, Isabelle & Giga, Aleksandar & Zapatero, Fernando, 2016. "Skewness Seeking in a Dynamic Portfolio Choice Experiment," CEPR Discussion Papers 11056, C.E.P.R. Discussion Papers.
    9. Montone, Maurizio, 2021. "Optimal pricing in the online betting market," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 344-363.
    10. Erik Snowberg & Justin Wolfers, 2010. "Explaining the Favorite-Long Shot Bias: Is it Risk-Love or Misperceptions?," Journal of Political Economy, University of Chicago Press, vol. 118(4), pages 723-746, August.
    11. Niko Suhonen, 2011. "Market Efficiency in Finnish Harness Horse Racing," Finnish Economic Papers, Finnish Economic Association, vol. 24(1), pages 55-63, Spring.
    12. W. David Walls & Kelly Busche, 2003. "Broken odds and the favourite-longshot bias in parimutuel betting: a direct test," Applied Economics Letters, Taylor & Francis Journals, vol. 10(5), pages 311-314, April.
    13. McGee, Richard J. & Johnson, Johnnie E.V., 2017. "Everyone’s a winner: The market impact of technologically advantaged agents," Economics Letters, Elsevier, vol. 156(C), pages 95-98.
    14. Philip W. S. Newall & Dominic Cortis, 2021. "Are Sports Bettors Biased toward Longshots, Favorites, or Both? A Literature Review," Risks, MDPI, vol. 9(1), pages 1-9, January.
    15. Swidler, Steve & Shaw, Ron, 1995. "Racetrack wagering and the "uninformed" bettor: A study of market efficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 35(3), pages 305-314.
    16. Brox, Enzo & Krieger, Tommy, 2022. "Birthplace diversity and team performance," Labour Economics, Elsevier, vol. 79(C).
    17. Daniel Kuester & Shane Sanders, 2011. "Regional information and market efficiency: the case of spread betting in United States college football," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 35(1), pages 116-122, January.
    18. Tjaden, Jasper Dag & Schwemmer, Carsten & Khadjavi, Menusch, 2018. "Ride with Me - Ethnic Discrimination, Social Markets and the Sharing Economy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 34(4), pages 418-432.
    19. Zhang, Chi & Thijssen, Jacco, 2022. "On sticky bookmaking as a learning device in horse-racing betting markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    20. Hassett Kevin A. & Zhong Weifeng, 2021. "On the Observational Implications of Knightian Uncertainty," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 21(1), pages 115-147, January.

    More about this item

    Keywords

    behavioural economics; fantasy sport; historically dominant teams; neoclassical economics; sports betting; data collection;
    All these keywords.

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:aop:jijoes:v:10:y:2021:i:1:p:53-70. 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: Jiri Rotschedl (email available below). General contact details of provider: https://ijoes.eurrec.org/ .

    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.