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Skill in Games

Author

Listed:
  • Patrick Larkey

    (H. J. Heinz III School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Joseph B. Kadane

    (Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Robert Austin

    (Harvard Business School, Cambridge, Massachusetts 02139)

  • Shmuel Zamir

    (Department of Statistics, Hebrew University, Jerusalem, Israel)

Abstract

Differences in players' skill are important determinants of relative player success in most real games such as poker, chess, basketball, business, and politics. Yet conventional game theory has concentrated primarily on games with no skill differences among players. This paper uses a simplified version of stud poker to better understand the concept of differential player skill in games. Players with very different strategies for playing this game are modeled algorithmically and pitted against one another in simulation tournaments.

Suggested Citation

  • Patrick Larkey & Joseph B. Kadane & Robert Austin & Shmuel Zamir, 1997. "Skill in Games," Management Science, INFORMS, vol. 43(5), pages 596-609, May.
    • Handle: RePEc:inm:ormnsc:v:43:y:1997:i:5:p:596-609
    DOI: 10.1287/mnsc.43.5.596
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    Citations

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    Cited by:

    1. Duersch, Peter & Lambrecht, Marco & Oechssler, Joerg, 2020. "Measuring skill and chance in games," European Economic Review, Elsevier, vol. 127(C).
    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. Otwin Becker & Tanja Feit & Vera Hofer & Ulrike Leopold-Wildburger & Reinhard Selten, 2007. "Educational effects in an experiment with the management game SINTO-Market," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(4), pages 301-308, November.
    4. Joseph Kadane & Javier Girón & Daniel Peña & Peter Fishburn & Simon French & D. Lindley & Giovanni Parmigiani & Robert Winkler, 1993. "Several Bayesians: A review," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(1), pages 1-32, December.
    5. 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.
    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. 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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