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On the evolution of conditional cooperation

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  • Guttman, Joel M.

Abstract

A long series of laboratory and field experiments, as well as conventional empirical studies, has established that (1) individuals voluntarily provide themselves with public goods at levels exceeding those predicted by the Nash voluntary contributions mechanism, and (2) agents reciprocate increases in the contributions of their counterparts in such settings (conditional cooperation). This paper presents a simple model of the evolution of preferences for conditional cooperation in the presence of a public good, which explains these two empirical findings without employing reputational or group selection arguments. In this model, individuals inherit preferences to match other agents' contributions to the provision of a public good, at some specified “matching rate.” Agents whose preferences induce them to be relatively successful – in material terms – increase in number, from one generation to the next. Under complete information and with randomly matched groups of N agents who have quasilinear preferences over the public good and a private good, the unique evolutionarily stable matching rate is 1, leading to Pareto optimal voluntary provision of the public good, regardless of group size N. The evolutionarily stable matching rate can be viewed as an endogenous social norm.

Suggested Citation

  • Guttman, Joel M., 2013. "On the evolution of conditional cooperation," European Journal of Political Economy, Elsevier, vol. 30(C), pages 15-34.
  • Handle: RePEc:eee:poleco:v:30:y:2013:i:c:p:15-34
    DOI: 10.1016/j.ejpoleco.2012.11.003
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    Cited by:

    1. Christiane Reif & Dirk Rübbelke & Andreas Löschel, 2017. "Improving Voluntary Public Good Provision Through a Non-governmental, Endogenous Matching Mechanism: Experimental Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(3), pages 559-589, July.
    2. Takahiro Ezaki & Yutaka Horita & Masanori Takezawa & Naoki Masuda, 2016. "Reinforcement Learning Explains Conditional Cooperation and Its Moody Cousin," PLOS Computational Biology, Public Library of Science, vol. 12(7), pages 1-13, July.
    3. Reif, Christiane & Rübbelke, Dirk & Löschel, Andreas, 2014. "Improving voluntary public good provision by a non-governmental, endogenous matching mechanism: Experimental evidence," CAWM Discussion Papers 73, University of Münster, Münster Center for Economic Policy (MEP).
    4. Bosworth, Steven J. & Singer, Tania & Snower, Dennis J., 2016. "Cooperation, motivation and social balance," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PB), pages 72-94.
    5. Wolfgang Buchholz & Wolfgang Peters & Aneta Ufert, 2014. "Spielräume für uni- und multilateralen Klimaschutz," Discussion Paper Series RECAP15 15, RECAP15, European University Viadrina, Frankfurt (Oder).
    6. Briguglio, Marie & Delaney, Liam & Wood, Alex, 2018. "Partisanship, priming and participation in public-good schemes," European Journal of Political Economy, Elsevier, vol. 55(C), pages 136-150.
    7. Bosworth, Steven J. & Singer, Tania & Snower, Dennis J., 2016. "Cooperation, motivation and social balance," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PB), pages 72-94.

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    More about this item

    Keywords

    Reciprocity; Conditional cooperation; Public goods; Social preferences; Cooperation;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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