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Punishment and Cooperation in Stochastic Social Dilemmas

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  • Erte Xiao
  • Howard Kunreuther

Abstract

Previous findings on punishment have focused on environments in which the outcomes are known with certainty. In this paper, we conduct experiments to investigate how punishment affects cooperation in a two-person stochastic prisoner's dilemma environment where each person can decide whether or not to cooperate, and the outcomes of alternative strategies are specified probabilistically under a transparent information condition. In particular, we study two types of punishment mechanisms: 1) an unrestricted punishment mechanism: both persons can punish; and 2) a restricted punishment mechanism: only cooperators can punish non-cooperators. We show that the restricted punishment mechanism is more effective in promoting cooperative behavior than the unrestricted one in a deterministic social dilemma. More importantly, the restricted type is less effective in an environment where the outcomes are stochastic than when they are known with certainty. Our data suggest that one explanation is that non-cooperative behavior is less likely to be punished when there is outcome uncertainty. Our findings provide useful information for designing efficient incentive mechanisms to induce cooperation in a stochastic social dilemma environment.

Suggested Citation

  • Erte Xiao & Howard Kunreuther, 2012. "Punishment and Cooperation in Stochastic Social Dilemmas," NBER Working Papers 18458, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:18458
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    5. Tan, Fangfang & Xiao, Erte, 2018. "Third-party punishment: Retribution or deterrence?," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 34-46.
    6. Grieco, Daniela & Faillo, Marco & Zarri, Luca, 2017. "Enforcing cooperation in public goods games: Is one punisher enough?," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 55-73.
    7. Gaudeul, Alexia & Crosetto, Paolo & Riener, Gerhard, 2017. "Better stuck together or free to go? Of the stability of cooperation when individuals have outside options," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 99-112.
    8. Paolo Crosetto & Alexia Gaudeul & Gerhard Riener, 2012. "Partnerships, Imperfect Monitoring and Outside Options: Theory and Experimental Evidence," Jena Economics Research Papers 2012-052, Friedrich-Schiller-University Jena.
    9. Timothy Cason & Lata Gangadharan, 2015. "Promoting cooperation in nonlinear social dilemmas through peer punishment," Experimental Economics, Springer;Economic Science Association, vol. 18(1), pages 66-88, March.
    10. Jared Rubin & Roman Sheremeta, 2016. "Principal–Agent Settings with Random Shocks," Management Science, INFORMS, vol. 62(4), pages 985-999, April.
    11. Kriss, Peter H. & Weber, Roberto A. & Xiao, Erte, 2016. "Turning a blind eye, but not the other cheek: On the robustness of costly punishment," Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 159-177.
    12. David Gill & Yaroslav Rosokha, 2023. "Beliefs, learning, and personality in the indefinitely repeated prisoner's dilemma," Purdue University Economics Working Papers 1332, Purdue University, Department of Economics.
    13. Cason, Timothy N. & Mui, Vai-Lam, 2019. "Individual versus group choices of repeated game strategies: A strategy method approach," Games and Economic Behavior, Elsevier, vol. 114(C), pages 128-145.
    14. Tan, Fangfang & Xiao, Erte, 2012. "Peer punishment with third-party approval in a social dilemma game," Economics Letters, Elsevier, vol. 117(3), pages 589-591.
    15. Bilancini, Ennio & Boncinelli, Leonardo & Nardi, Chiara & Pizziol, Veronica, 2024. "Cooperation is unaffected by the threat of severe adverse events in public goods games," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 108(C).
    16. Olivier Bonroy & Alexis Garapin & Hamilton Stephen & Diogo Souza-Monteiro, 2018. "Free-riding on product quality in cooperatives: lessons from an experiment," Post-Print hal-01815808, HAL.
    17. Vesely, Stepan & Wengström, Erik, 2017. "Risk and Cooperation: Experimental Evidence from Stochastic Public Good Games," Working Papers 2017:3, Lund University, Department of Economics.
    18. Paolo Crosetto & Alexia Gaudeul & Gerhard Riener, 2012. "Partnerships, Imperfect Monitoring and Outside Options: Theory and Experimental Evidence," Jena Economics Research Papers 2012-052, Friedrich-Schiller-University Jena.
    19. Daniela Grieco & Marco Faillo & Luca Zarri, 2013. "Top Contributors as Punishers," Working Papers 24/2013, University of Verona, Department of Economics.
    20. Brown, Martin & Schmitz, Jan & Zehnder, Christian, 2016. "Social Norms and Strategic Default," Working Papers on Finance 1608, University of St. Gallen, School of Finance, revised Jun 2017.
    21. Martin Brown & Jan Schmitz & Christian Zehnder, 2023. "Moral Constraints, Social Norm Enforcement and Strategic Default in Weak and Strong Economic Conditions," Working Papers 23.03, Swiss National Bank, Study Center Gerzensee.
    22. Gago, Andrés, 2021. "Reciprocity and uncertainty: When do people forgive?," Journal of Economic Psychology, Elsevier, vol. 84(C).
    23. Brent J. Davis & Rudolf Kerschbamer & Regine Oexl, 2017. "Is reciprocity really outcome-based? A second look at gift-exchange with random shocks," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 3(2), pages 149-160, December.
    24. Liu, Yan-Ping & Wang, Lin & Zhang, Feng & Wang, Rui-Wu, 2020. "Diffusion sustains cooperation via forming diverse spatial patterns in prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 375(C).
    25. Martin Brown & Jan Schmitz & Christian Zehnder, 2023. "Communication and Hidden Action: A Credit Market Experiment," Working Papers 23.02, Swiss National Bank, Study Center Gerzensee.

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    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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