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The Dirty Faces Game Revisited

Author

Listed:
  • Ralph-C. Bayer

    (School of Economics, University of Adelaide)

  • Mickey Chan

    (School of Economics, University of Adelaide)

Abstract

Weber (2001) uses the Dirty Faces Game to examine the depth of iterated rationality. Weber does not consider equilibria that contain weakly dominated actions. So he implicitly assumes that it is common knowledge that no one ever uses weakly dominated actions. We show that allowing for equilibria in weakly dominated strategies greatly extents the set of potentially rational actions. The original game therefore lacks discriminatory power, as many actions categorised as irrational by Weber can actually be part of an equilibrium strategy. We slightly modify the payoff structure and establish strict dominance, which leads to a unique equilibrium. The resulting dominance-solvable game is implemented in an experiment. We find that subjects are either able to iterate right to the equilibrium or fail to do so when two or more steps of iteration are necessary. Virtually all subjects were able to do one step of iteration. Further, we find evidence that the lack of confidence in other players' iterative abilities induces deviations from equilibrium play.

Suggested Citation

  • Ralph-C. Bayer & Mickey Chan, 2007. "The Dirty Faces Game Revisited," School of Economics and Public Policy Working Papers 2007-01, University of Adelaide, School of Economics and Public Policy.
  • Handle: RePEc:adl:wpaper:2007-01
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    File URL: https://media.adelaide.edu.au/economics/papers/doc/wp2007-01.pdf
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    Citations

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    Cited by:

    1. Ludovic Renou & Ralph C. Bayer, 2008. "Homo Sapiens Sapiens Meets Homo Strategicus at the Laboratory," Discussion Papers in Economics 08/16, Division of Economics, School of Business, University of Leicester, revised Nov 2008.
    2. Choo, Lawrence & Zhou, Xiaoyu, 2019. "Can market competition reduce anomalous behaviours," FAU Discussion Papers in Economics 08/2019, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    3. Shunqiang Ye & Lu Wang & Kang Hao Cheong & Nenggang Xie, 2017. "Pedestrian Group-Crossing Behavior Modeling and Simulation Based on Multidimensional Dirty Faces Game," Complexity, Hindawi, vol. 2017, pages 1-12, December.
    4. Lawrence C. Y. Choo, 2014. "Trading Participation Rights to the “Red Hat Puzzle”. An Experiment," Discussion Papers 1408, University of Exeter, Department of Economics.
    5. Choo, Lawrence & Zhou, Xiaoyu, 2022. "Can market selection reduce anomalous behaviour in games?," European Economic Review, Elsevier, vol. 141(C).
    6. Bayer, Ralph C. & Renou, Ludovic, 2016. "Logical omniscience at the laboratory," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 41-49.
    7. Choo, Lawrence, 2016. "Market competition for decision rights: An experiment based on the “Hat Puzzle Problem”," MPRA Paper 73408, University Library of Munich, Germany.
    8. Choo, Lawrence C.Y, 2014. "Trading Participation Rights to the Red Hat Puzzle. Will Markets allocate the rights for performing decision tasks to the more abled players?," MPRA Paper 55569, University Library of Munich, Germany.

    More about this item

    Keywords

    game theory; iterative reasoning; experimental economics;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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