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Cost Sharing in a Volunteer's Dilemma

Author

Listed:
  • Jeroen Weesie

    (Department of Sociology, Utrecht University)

  • Axel Franzen

    (Institute of Sociology, University of Berne)

Abstract

Many interesting situations of public good provision such as a bystander's decision to help a victim, a committee member's decision to veto, or a company's decision to develop innovative products can be described by the volunteer's dilemma (VOD). The authors analyze a variant of the VOD in which the costs of producing a public good are shared equally among the volunteers rather than paid in full by each of the volunteers. The game theoretic solution predicts that the probability of volunteering is larger under the condition of sharing than when each volunteer pays the full cost. It is predicted that, even when cost sharing, the individual probability to volunteer decreases with group size, and larger groups still underproduce the public good. Predictions are tested using data collected via a mailed questionnaire to students of Berne University. The quantitative predictions of the game-theoretic models do not describe the data well, even when the models are extended with risk preferences. However, the less informative qualitative prediction that cost sharing increases the individual probability to volunteer is supported by the data.

Suggested Citation

  • Jeroen Weesie & Axel Franzen, 1998. "Cost Sharing in a Volunteer's Dilemma," Journal of Conflict Resolution, Peace Science Society (International), vol. 42(5), pages 600-618, October.
  • Handle: RePEc:sae:jocore:v:42:y:1998:i:5:p:600-618
    DOI: 10.1177/0022002798042005004
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    References listed on IDEAS

    as
    1. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    2. Diekmann, Andreas, 1993. "Cooperation in an Asymmetric Volunteer's Dilemma Game: Theory and Experimental Evidence," International Journal of Game Theory, Springer;Game Theory Society, vol. 22(1), pages 75-85.
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    Cited by:

    1. Decker, Torsten & Stiehler, Andreas & Strobel, Martin, 2002. "A Comparison of Punishment Rules in Repeated Public Good Games - An Experimental Study," Research Memorandum 020, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    2. Nöldeke, Georg & Peña, Jorge, 2018. "Group size effects in social evolution," IAST Working Papers 18-75, Institute for Advanced Study in Toulouse (IAST).
    3. Rothenhäusler, Dominik & Schweizer, Nikolaus & Szech, Nora, 2018. "Guilt in voting and public good games," European Economic Review, Elsevier, vol. 101(C), pages 664-681.
    4. Ted Bergstrom, 2017. "The Good Samaritan and Traffic on the Road to Jericho," American Economic Journal: Microeconomics, American Economic Association, vol. 9(2), pages 33-53, May.
    5. Nöldeke, Georg & Peña, Jorge, 2020. "Group size and collective action in a binary contribution game," Journal of Mathematical Economics, Elsevier, vol. 88(C), pages 42-51.
    6. Adrian Hillenbrand, 2018. "Cooperation with lists," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2018_01, Max Planck Institute for Research on Collective Goods.
    7. Friehe, Tim & Tabbach, Avraham, 2018. "A comparison of simple action-based and outcome-based policies for emergency-like situations," Mathematical Social Sciences, Elsevier, vol. 92(C), pages 22-34.
    8. Leo, Greg, 2017. "Taking turns," Games and Economic Behavior, Elsevier, vol. 102(C), pages 525-547.

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