IDEAS home Printed from https://ideas.repec.org/p/jrp/jrpwrp/2012-047.html
   My bibliography  Save this paper

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 Economic Research Papers 2012-047, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2012-047
    as

    Download full text from publisher

    File URL: http://pubdb.wiwi.uni-jena.de/pdf/wp_2012_047.pdf
    Download Restriction: no

    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. Min Gong & Jonathan Baron & Howard Kunreuther, 2009. "Group cooperation under uncertainty," Journal of Risk and Uncertainty, Springer, vol. 39(3), pages 251-270, December.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vesely, Stepan & Wengström, Erik, 2017. "Risk and Cooperation: Experimental Evidence from Stochastic Public Good Games," Working Papers 2017:3, Lund University, Department of Economics.

    More about this item

    Keywords

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

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jrp:jrpwrp:2012-047. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Markus Pasche). General contact details of provider: http://www.jenecon.de .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.