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A New Relative Skill Measure for Games with Chance Elements

Author

Listed:
  • Dreef, M.R.M.

    (Tilburg University, School of Economics and Management)

  • Borm, P.E.M.

    (Tilburg University, School of Economics and Management)

  • van der Genugten, B.B.

    (Tilburg University, School of Economics and Management)

Abstract

An interesting aspect of games is the relative extent to which a player can positively influence his results by making appropriate strategic choices. This question is closely related to the issue of how to distinguish between games of skill and games of chance. The distinction between these two types of games is definitely interesting from a juridical point of view. Borm and Van der Genugten (2001) presented a method to measure the skill level of a game. In principle, their measure can serve as a juridical tool for the classification of games with respect to skill. In this paper we present a modification of the measure. The main difference is that this new definition does not automatically classify incomplete information games without chance moves as games of skill. We use a coin game and a simplified version of standard drawpoker as an illustration.
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Suggested Citation

  • Dreef, M.R.M. & Borm, P.E.M. & van der Genugten, B.B., 2001. "A New Relative Skill Measure for Games with Chance Elements," Other publications TiSEM 8c43baf8-983d-4a11-b2f8-3, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:8c43baf8-983d-4a11-b2f8-37812bd23122
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    References listed on IDEAS

    as
    1. Marcel Dreef & Peter Borm, 2006. "On the role of chance moves and information in two-person games," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 75-98, June.
    2. Peter Borm & Ben Genugten, 2001. "On a relative measure of skill for games with chance elements," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(1), pages 91-114, June.
    3. Patrick Larkey & Joseph B. Kadane & Robert Austin & Shmuel Zamir, 1997. "Skill in Games," Management Science, INFORMS, vol. 43(5), pages 596-609, May.
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    Cited by:

    1. Marcel Dreef & Peter Borm, 2006. "On the role of chance moves and information in two-person games," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 75-98, June.
    2. Mikołaj Czajkowski, 2015. "Poker - a game of luck or skills. Review of theoretical and empirical studies and conclusions for law regulations," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 40.
    3. Marcel Dreef & Peter Borm & Ben van der Genugten, 2004. "Measuring skill in games: several approaches discussed," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 59(3), pages 375-391, July.
    4. Hendrickx, R.L.P. & Borm, P.E.M. & van der Genugten, B.B. & Hilbers, P., 2008. "Measuring Skill in More-Person Games with Applications to Poker," Other publications TiSEM 2f1019be-50f8-4155-9592-f, Tilburg University, School of Economics and Management.
    5. Ben van der Genugten & Peter Borm, 2016. "Texas Hold’em: A Game of Skill," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-13, September.
    6. Rogier J D Potter van Loon & Martijn J van den Assem & Dennie van Dolder, 2015. "Beyond Chance? The Persistence of Performance in Online Poker," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-23, March.
    7. Duersch, Peter & Lambrecht, Marco & Oechssler, Joerg, 2020. "Measuring skill and chance in games," European Economic Review, Elsevier, vol. 127(C).
    8. Vito Fragnelli & Maria Erminia Marina, 2011. "Skill and Chance in Insurance Policies," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 5(2), pages 191-202, August.

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    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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