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Individual versus Group Choices of Repeated Game Strategies: A Strategy Method Approach

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  • Timothy N. Cason
  • Vai-Lam Mui

Abstract

We study experimentally the indefinitely repeated noisy prisoner’s dilemma, in which random events can change an intended action to its opposite. We investigate whether groups choose Always Defect less and use lenient or forgiving strategies more than individuals, and how decision-makers experiment with different strategies by letting them choose from an extensive list of repeated game strategies. We find that groups use forgiving and tit-for-tat strategies more than individuals. Always Defect, however, is the most popular strategy for both groups and individuals. Groups and individuals cooperate at similar rates overall, and they seldom experiment with different strategies in later supergames.

Suggested Citation

  • Timothy N. Cason & Vai-Lam Mui, 2019. "Individual versus Group Choices of Repeated Game Strategies: A Strategy Method Approach," Monash Economics Working Papers 01-19, Monash University, Department of Economics.
  • Handle: RePEc:mos:moswps:2019-01
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    3. Edoardo Gallo & Yohanes E. Riyanto & Nilanjan Roy & Tat-How Teh, 2022. "Cooperation and punishment mechanisms in uncertain and dynamic networks," Papers 2203.04001, arXiv.org.
    4. David Bruner & Caleb Cox & David M. McEvoy & Brock Stoddard, 2022. "Strategic thinking in contests," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 942-973, June.
    5. Julian Romero & Yaroslav Rosokha, 2023. "Mixed Strategies in the Indefinitely Repeated Prisoner's Dilemma," Econometrica, Econometric Society, vol. 91(6), pages 2295-2331, November.
    6. Zakharov, Alexei & Bondarenko, Oxana, 2021. "Social status and social learning," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    7. Cason, Timothy N. & Lau, Sau-Him Paul & Mui, Vai-Lam, 2019. "Prior interaction, identity, and cooperation in the Inter-group Prisoner's Dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 613-629.
    8. Gallo, Edoardo & Riyanto, Yohanes E. & Roy, Nilanjan & Teh, Tat-How, 2022. "Cooperation and punishment mechanisms in uncertain and dynamic social networks," Games and Economic Behavior, Elsevier, vol. 134(C), pages 75-103.
    9. Aidin Hajikhameneh & Erik O. Kimbrough & Brock Stoddard, 2023. "Do Individualists and Collectivists Cooperate Differently?," Working Papers 23-11, Department of Economics, Appalachian State University.
    10. Zulfiqar, M. & Kamran, M. & Rasheed, M.B., 2022. "A blockchain-enabled trust aware energy trading framework using games theory and multi-agent system in smat grid," Energy, Elsevier, vol. 255(C).
    11. Tan, Charmaine H.Y., 2021. "The effects of group decision-making on social preferences: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 134-153.

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    More about this item

    Keywords

    Laboratory Experiment; Cooperation; Repeated Games; Strategy;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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