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Elicitation of Strategy Profiles in Large Group Coordination Games

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  • Darryl Seale
  • Amnon Rapoport

Abstract

The strategy method is an experimental procedure for eliciting a complete strategy of play for all information sets, not only the ones that happen to be reached during the course of a play of a game. We use it to elicit individual strategy profiles for a class of large group, market entry games in which the payoff for a player who enters on a given market capacity value decreases linearly in the difference between the capacity value and the corresponding number of entrants. Our results show that the aggregate frequencies of entry do not differ from previous results obtained under the more common decision method. Under both methods, the number of entrants across a large set of market capacity values is organized remarkably well by the equilibrium solution. In contrast, theindividual profiles do not support mixed equilibrium play; only three of the sixty profiles suggest attempts at randomization or “mixing” between periods. About half of the individual profiles appear to converge, albeit slowly, to cutoff decision policies and more than a quarter of the profiles exhibit a variety of patterns that defy classification. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • Darryl Seale & Amnon Rapoport, 2000. "Elicitation of Strategy Profiles in Large Group Coordination Games," Experimental Economics, Springer;Economic Science Association, vol. 3(2), pages 153-179, October.
  • Handle: RePEc:kap:expeco:v:3:y:2000:i:2:p:153-179
    DOI: 10.1023/A:1026541403088
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    References listed on IDEAS

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    10. Amnon Rapoport & Terry Daniel & Darryl Seale, 1998. "Reinforcement-Based Adaptive Learning in Asymmetric Two-Person Bargaining with Incomplete Information," Experimental Economics, Springer;Economic Science Association, vol. 1(3), pages 221-253, December.
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    Cited by:

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    2. Camerer, Colin F. & Ho, Teck-Hua, 2015. "Behavioral Game Theory Experiments and Modeling," Handbook of Game Theory with Economic Applications,, Elsevier.
    3. Rapoport, Amnon & Otsubo, Hironori & Kim, Bora & Stein, William E., 2007. "Unique bid auctions: Equilibrium solutions and experimental evidence," MPRA Paper 4185, University Library of Munich, Germany, revised 17 Jul 2007.
    4. Duffy, John & Hopkins, Ed, 2005. "Learning, information, and sorting in market entry games: theory and evidence," Games and Economic Behavior, Elsevier, vol. 51(1), pages 31-62, April.
    5. Linde, Jona & Sonnemans, Joep & Tuinstra, Jan, 2014. "Strategies and evolution in the minority game: A multi-round strategy experiment," Games and Economic Behavior, Elsevier, vol. 86(C), pages 77-95.
    6. Jordi Brandts & Gary Charness, 2011. "The strategy versus the direct-response method: a first survey of experimental comparisons," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 375-398, September.
    7. Stein, William E. & Rapoport, Amnon & Seale, Darryl A. & Zhang, Hongtao & Zwick, Rami, 2007. "Batch queues with choice of arrivals: Equilibrium analysis and experimental study," Games and Economic Behavior, Elsevier, vol. 59(2), pages 345-363, May.
    8. Vincent Mak & Darryl A. Seale & Eyran J. Gisches & Amnon Rapoport & Meng Cheng & Myounghee Moon & Rui Yang, 2018. "A network ridesharing experiment with sequential choice of transportation mode," Theory and Decision, Springer, vol. 85(3), pages 407-433, October.
    9. Gunnthorsdottir, Anna & Vragov, Roumen & Mccabe, Kevin, 2007. "The meritocracy as a mechanism to overcome social dilemmas," MPRA Paper 2454, University Library of Munich, Germany.
    10. Tibor Neugebauer, 2005. "Bidding Strategies Of Sequential First Price Auctions Programmed By Experienced Bidders," Experimental 0503007, University Library of Munich, Germany.

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