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Optimization incentive and relative riskiness in experimental coordination games

Author

Listed:
  • Dimitri Dubois

    (LAMETA (UMR CNRS 5474), Université Montpellier 1, avenue de la mer, site Richter, C.S. 79606, 34960 Montpellier cédex 2, France.)

  • Marc Willinger

    (LAMETA (UMR CNRS 5474), Université Montpellier 1, avenue de la mer, site Richter, C.S. 79606, 34960 Montpellier cédex 2, France.)

  • Phu Nguyen-Van

    (THEMA-CNRS, Université de Cergy-Pontoise, 33 Boulevard du Port, F-95011 Cergy-Pontoise Cedex, France.)

Abstract

We compare the experimental results of three stag-hunt games. In contrast to Battalio et al. (2001), our design keeps the riskiness ratio of the payoff-dominant and the risk-dominant strategies at a constant level as the optimisation premium is increased. We define the riskiness ratio as the relative payoff range of the two strategies. We find that decreasing the riskiness ratio while keeping the optimization premium constant increases sharply the frequency of the risk-dominant strategy. On the other hand an increase of the optimization premium with a constant riskiness ratio has no effect on the choice frequencies. Finally, we confirm the dynamic properties found by Battalio et al. that increasing the optimization premium favours best-response and sensitivity to the history of play.

Suggested Citation

  • Dimitri Dubois & Marc Willinger & Phu Nguyen-Van, 2009. "Optimization incentive and relative riskiness in experimental coordination games," Working Papers 54, Development and Policies Research Center (DEPOCEN), Vietnam.
    • Handle: RePEc:dpc:wpaper:0209
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    Cited by:

    1. Tanga Morae Mcdaniel, 2011. "Coordination In Games With Incomplete Information: Experimental Results," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 461-474.
    2. Brown, Martin & Trautmann, Stefan T. & Vlahu, Razvan, 2012. "Contagious Bank Runs: Experimental Evidence," Working Papers on Finance 1207, University of St. Gallen, School of Finance.

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    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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