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Strategy Similarity and Coordination

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Listed:
  • Rajiv Sarin
  • Farshid Vahid

Abstract

In the payoff assessment model of choice ( Sarin and Vahid, 1999), only the assessment of the chosen strategy is updated. We extend that model to allow the agent to also update the assessments of strategies that the agent thinks are similar to the chosen strategy. We use this model to explain observed behaviour in a recent experiment. Statistical tests cannot distinguish between the payoff distributions generated by the model and the observed payoff distributions in almost every period. Copyright 2004 Royal Economic Society.

Suggested Citation

  • Rajiv Sarin & Farshid Vahid, 2004. "Strategy Similarity and Coordination," Economic Journal, Royal Economic Society, vol. 114(497), pages 506-527, July.
  • Handle: RePEc:ecj:econjl:v:114:y:2004:i:497:p:506-527
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    Cited by:

    1. Ralph-C. Bayer & Elke Renner & Rupert Sausgruber, 2013. "Confusion and learning in the voluntary contributions game," Experimental Economics, Springer;Economic Science Association, vol. 16(4), pages 478-496, December.
    2. Oyarzun, Carlos & Ruf, Johannes, 2014. "Convergence in models with bounded expected relative hazard rates," Journal of Economic Theory, Elsevier, vol. 154(C), pages 229-244.
    3. Burkhard C. Schipper & Jorg Oechssler & Albert Kolb, 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Working Papers 516, University of California, Davis, Department of Economics.
    4. Ralph-C Bayer & Elke Renner & Rupert Sausgruber, 2009. "Confusion and Reinforcement Learning in Experimental Public Good Games," Discussion Papers 2009-18, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    5. Brit Grosskopf & Rajiv Sarin & Elizabeth Watson, 2015. "An experiment on case-based decision making," Theory and Decision, Springer, vol. 79(4), pages 639-666, December.
    6. Wu, Hang & Bayer, Ralph-C, 2015. "Learning from inferred foregone payoffs," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 445-458.
    7. Peter Duersch & Albert Kolb & Jörg Oechssler & Burkhard Schipper, 2010. "Rage against the machines: how subjects play against learning algorithms," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 43(3), pages 407-430, June.
    8. Burkhard C. Schipper & Jorg Oechssler & Albert Kolb, 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Working Papers 516, University of California, Davis, Department of Economics.

    More about this item

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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