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Volunteering a Public Service: An Experimental Investigation

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  • M. Bilodeau
  • J. Childs
  • S. Mestelman

Abstract

In some public goods environments it may be advantageous for heterogeneous groups to be coordinated by a single individual. This “volunteer” will bear private costs for acting as the leader while enabling each member of the group to achieve maximum potential gains. This environment is modeled as a War of Attrition game in which everyone can wait for someone else to volunteer. Since these games generally have multiple Nash equilibria but a unique subgameperfect equilibrium, we tested experimentally the predictive power of the subgame-perfection criterion. Our data contradict that subjects saw the subgame-perfect strategy combination as the obvious way to play the game. An alternative behavioral hypothesis – that subjects were unable to predict accurately how their opponents would play and tried to maximize their expected payoff – is proposed. This hypothesis fits the observed data generally well.

Suggested Citation

  • M. Bilodeau & J. Childs & S. Mestelman, 2001. "Volunteering a Public Service: An Experimental Investigation," Department of Economics Working Papers 2001-05, McMaster University.
  • Handle: RePEc:mcm:deptwp:2001-05
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    File URL: http://socserv.mcmaster.ca/econ/rsrch/papers/archive/2001-05.pdf
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    References listed on IDEAS

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    Cited by:

    1. Brown, Alexander L. & Van Essen, Matt, 2022. "Breaking-up should not be hard to do! Designing contracts to avoid wars of attrition," European Economic Review, Elsevier, vol. 143(C).
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    5. Xue, Lian & Sitzia, Stefania & Turocy, Theodore L., 2023. "Concord and contention in a dynamic unstructured bargaining experiment with costly conflict," Journal of Economic Psychology, Elsevier, vol. 97(C).

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    More about this item

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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