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A new relative skill measure for games with chance elements

Author

Listed:
  • Marcel Dreef

    (Center and Department of Econometrics and Operations Research, Tilburg University, The Netherlands)

  • Peter Borm

    (Center and Department of Econometrics and Operations Research, Tilburg University, The Netherlands)

  • Ben van der Genugten

    (Center and Department of Econometrics and Operations Research, Tilburg University, The Netherlands)

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. In this paper we present a modification of an existing measure of the skill level of a game, which has served as a juridical tool for the classification of games. The main difference is that this new definition does not automatically classify incomplete information games without chance moves as games of skill. Copyright © 2004 John Wiley & Sons, Ltd.

Suggested Citation

  • Marcel Dreef & Peter Borm & Ben van der Genugten, 2004. "A new relative skill measure for games with chance elements," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 25(5), pages 255-264.
    • Handle: RePEc:wly:mgtdec:v:25:y:2004:i:5:p:255-264
    DOI: 10.1002/mde.1147
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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.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. 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.
    2. 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.
    3. Duersch, Peter & Lambrecht, Marco & Oechssler, Joerg, 2020. "Measuring skill and chance in games," European Economic Review, Elsevier, vol. 127(C).
    4. 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.
    5. 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," Discussion Paper 2008-106, Tilburg University, Center for Economic Research.
    6. 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.
    7. 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.
    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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    More about this item

    JEL classification:

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

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