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Cooperation in a Risky Environment: Decisions from Experience in a Stochastic Social Dilemma

Author

Listed:
  • Florian Artinger

    (Max Planck Institute for Human Development, Berlin)

  • Nadine Fleischhut

    (Max Planck Institute for Human Development, Berlin)

  • M. Vittoria Levati

    (Max Planck Institute of Economics, Jena, and Department of Economics, University of Verona)

  • Jeffrey R. Stevens

    (Department of Psychology, Nebraska)

Abstract

Often in cooperative situations, many aspects of the decision-making environment are uncertain. We investigate how cooperation is shaped by the way information about risk is presented (from description or from experience) and by differences in risky environments. Drawing on research from risky choice, we compare choices in stochastic social dilemmas to those in lotteries with equivalent levels of risk. Cooperation rates in games vary with different levels of risk across decision situations with the same expected outcomes, thereby mimicking behavior in lotteries. Risk presentation, however, only affected choices in lotteries, not in stochastic games. Process data suggests that people respond less to probabilities in the stochastic social dilemmas than in the lotteries. The findings highlight how an uncertain environment shapes cooperation and call for models of the underlying decision processes.

Suggested Citation

  • Florian Artinger & Nadine Fleischhut & M. Vittoria Levati & Jeffrey R. Stevens, 2012. "Cooperation in a Risky Environment: Decisions from Experience in a Stochastic Social Dilemma," Jena Economics Research Papers 2012-047, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2012-047
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    File URL: https://oweb.b67.uni-jena.de/Papers/jerp2012/wp_2012_047.pdf
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    References listed on IDEAS

    as
    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Yoella Bereby-Meyer & Alvin E. Roth, 2006. "The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation," American Economic Review, American Economic Association, vol. 96(4), pages 1029-1042, September.
    3. M. Levati & Andrea Morone & Annamaria Fiore, 2009. "Voluntary contributions with imperfect information: An experimental study," Public Choice, Springer, vol. 138(1), pages 199-216, January.
    4. Min Gong & Jonathan Baron & Howard Kunreuther, 2009. "Group cooperation under uncertainty," Journal of Risk and Uncertainty, Springer, vol. 39(3), pages 251-270, December.
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    Cited by:

    1. Angela C. M. Oliveira, 2021. "When risky decisions generate externalities," Journal of Risk and Uncertainty, Springer, vol. 63(1), pages 59-79, August.
    2. 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).
    3. Olschewski, Sebastian & Jakob, Lukas & Schmidt, Ulrich, 2023. "Investor preferences for positive social externalities and state-owned enterprises’ facilitated access to capital," Open Access Publications from Kiel Institute for the World Economy 266914, Kiel Institute for the World Economy (IfW Kiel).
    4. Vesely, Stepan & Wengström, Erik, 2017. "Risk and Cooperation: Experimental Evidence from Stochastic Public Good Games," Working Papers 2017:3, Lund University, Department of Economics.

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    More about this item

    Keywords

    Decisions from Experience; Social Dilemma; Cooperation; Risky Choice; Public Good.;
    All these keywords.

    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
    • 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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