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External validity of prospect theory: The evidence from soccer betting

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  • Krčál, Ondřej
  • Kvasnička, Michal
  • Staněk, Rostislav

Abstract

This paper tests whether the prospect theory parameters estimated from laboratory experiments correspond to estimates from real-life betting markets. Using Czech soccer betting data, we estimate the functional forms of the value and probability weighting functions commonly used for the experimental validation of prospect theory. In line with the experimental evidence, we find that bettors are risk averse in the domain of gains and risk seeking in the domain of losses and tend to overweight small probabilities and underweight medium and large probabilities. On the other hand, our findings suggest that bettors do not exhibit loss aversion. This might be at least partly explained by recent experimental evidence suggesting that loss aversion is weaker or absent if the decision-makers are experienced, if they face similar choices repeatedly, and if the decisions are made in a context where offers are usually accepted.

Suggested Citation

  • Krčál, Ondřej & Kvasnička, Michal & Staněk, Rostislav, 2016. "External validity of prospect theory: The evidence from soccer betting," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 121-127.
  • Handle: RePEc:eee:soceco:v:65:y:2016:i:c:p:121-127
    DOI: 10.1016/j.socec.2016.07.005
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    References listed on IDEAS

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    1. Bradley, Ian, 2003. "The representative bettor, bet size, and prospect theory," Economics Letters, Elsevier, vol. 78(3), pages 409-413, March.
    2. Adam Booij & Bernard Praag & Gijs Kuilen, 2010. "A parametric analysis of prospect theory’s functionals for the general population," Theory and Decision, Springer, vol. 68(1), pages 115-148, February.
    3. Bruno Jullien & Bernard Salanie, 2000. "Estimating Preferences under Risk: The Case of Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 503-530, June.
    4. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    5. Géraldine Bocquého & Florence Jacquet & Arnaud Reynaud, 2014. "Expected utility or prospect theory maximisers? Assessing farmers' risk behaviour from field-experiment data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(1), pages 135-172, February.
    6. Booij, Adam S. & van de Kuilen, Gijs, 2009. "A parameter-free analysis of the utility of money for the general population under prospect theory," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 651-666, August.
    7. Mohammed Abdellaoui & Han Bleichrodt & Hilda Kammoun, 2013. "Do financial professionals behave according to prospect theory? An experimental study," Theory and Decision, Springer, vol. 74(3), pages 411-429, March.
    8. Todd L. Cherry & Peter Frykblom & Jason F. Shogren, 2002. "Hardnose the Dictator," American Economic Review, American Economic Association, vol. 92(4), pages 1218-1221, September.
    9. Glenn W. Harrison & John A. List, 2008. "Naturally Occurring Markets and Exogenous Laboratory Experiments: A Case Study of the Winner's Curse," Economic Journal, Royal Economic Society, vol. 118(528), pages 822-843, April.
    10. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    11. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    12. repec:feb:framed:0071 is not listed on IDEAS
    13. 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.
    14. John A. List, 2004. "Neoclassical Theory Versus Prospect Theory: Evidence from the Marketplace," Econometrica, Econometric Society, vol. 72(2), pages 615-625, March.
    15. Henry Stott, 2006. "Cumulative prospect theory's functional menagerie," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 101-130, March.
    16. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    17. Ert, Eyal & Erev, Ido, 2008. "The rejection of attractive gambles, loss aversion, and the lemon avoidance heuristic," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 715-723, November.
    18. Kliger, Doron & Levy, Ori, 2009. "Theories of choice under risk: Insights from financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 330-346, August.
    19. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    20. Gurevich, Gregory & Kliger, Doron & Levy, Ori, 2009. "Decision-making under uncertainty - A field study of cumulative prospect theory," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1221-1229, July.
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