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When Does One Bad Apple Spoil the Barrel? An Evolutionary Analysis of Collective Action

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  • David P. Myatt
  • Chris Wallace

Abstract

This paper studies collective-action games in which the production of a public good requires teamwork. A leading example is a threshold game in which provision requires the voluntary participation of m out of n players. Quantal-response strategy revisions allow play to move between equilibria in which a team successfully provides, and an equilibrium in which the collective action fails. A full characterization of long-run play reveals the determinants of success; these include the correlation between players' costs of provision and their valuations for the good. The addition of an extra "bad apple" player can "spoil the barrel" by destabilizing successful teams and so offers a rationale for limiting the pool of possible contributors. Copyright 2008, Wiley-Blackwell.

Suggested Citation

  • David P. Myatt & Chris Wallace, 2008. "When Does One Bad Apple Spoil the Barrel? An Evolutionary Analysis of Collective Action," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(2), pages 499-527.
    • Handle: RePEc:oup:restud:v:75:y:2008:i:2:p:499-527
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    File URL: http://hdl.handle.net/10.1111/j.1467-937X.2008.00482.x
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    Cited by:

    1. Myatt, David P. & Wallace, Chris, 2008. "An evolutionary analysis of the volunteer's dilemma," Games and Economic Behavior, Elsevier, vol. 62(1), pages 67-76, January.
    2. Carlos Alós-Ferrer & Nick Netzer, 2015. "Robust stochastic stability," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 58(1), pages 31-57, January.
    3. DavidP. Myatt & Chris Wallace, 2009. "Evolution, Teamwork and Collective Action: Production Targets in the Private Provision of Public Goods," Economic Journal, Royal Economic Society, vol. 119(534), pages 61-90, January.
    4. Newton, Jonathan, 2017. "Shared intentions: The evolution of collaboration," Games and Economic Behavior, Elsevier, vol. 104(C), pages 517-534.
    5. Josephson, Jens & Wärneryd, Karl, 2008. "Long-run selection and the work ethic," Games and Economic Behavior, Elsevier, vol. 63(1), pages 354-365, May.
    6. Boosey, Luke A., 2017. "Conditional cooperation in network public goods experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 108-116.
    7. Gee, Laura K. & Schreck, Michael J., 2018. "Do beliefs about peers matter for donation matching? Experiments in the field and laboratory," Games and Economic Behavior, Elsevier, vol. 107(C), pages 282-297.
    8. Grund, Christian & Harbring, Christine & Thommes, Kirsten, 2018. "Group (Re-) formation in public good games: The tale of the bad apple?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 306-319.
    9. Angelovski, Andrej & Di Cagno, Daniela & Güth, Werner & Marazzi, Francesca & Panaccione, Luca, 2018. "Does heterogeneity spoil the basket? The role of productivity and feedback information on public good provision," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 40-49.
    10. Jorge Peña & Georg Nöldeke, 2023. "Cooperative Dilemmas with Binary Actions and Multiple Players," Dynamic Games and Applications, Springer, vol. 13(4), pages 1156-1193, December.
    11. Kevin Hasker, 2014. "The Emergent Seed: A Representation Theorem for Models of Stochastic Evolution and two formulas for Waiting Time," Levine's Working Paper Archive 786969000000000954, David K. Levine.
    12. Aggarwal, Ishani & Woolley, Anita Williams, 2013. "Do you see what I see? The effect of members’ cognitive styles on team processes and errors in task execution," Organizational Behavior and Human Decision Processes, Elsevier, vol. 122(1), pages 92-99.
    13. Antoci, Angelo & Russu, Paolo & Zarri, Luca, 2014. "Tax evasion in a behaviorally heterogeneous society: An evolutionary analysis," Economic Modelling, Elsevier, vol. 42(C), pages 106-115.
    14. 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.
    15. Toshimasa Maruta & Akira Okada, 2015. "Formation and long-run stability of cooperative groups in a social dilemma situation," International Journal of Economic Theory, The International Society for Economic Theory, vol. 11(1), pages 121-135, March.
    16. Benndorf, Volker & Martínez-Martínez, Ismael & Normann, Hans-Theo, 2021. "Games with coupled populations: An experiment in continuous time," Journal of Economic Theory, Elsevier, vol. 195(C).
    17. Pradelski, Bary S.R., 2023. "Social influence: The Usage History heuristic," Mathematical Social Sciences, Elsevier, vol. 123(C), pages 105-113.
    18. 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.
    19. Wallace, Chris & Young, H. Peyton, 2015. "Stochastic Evolutionary Game Dynamics," Handbook of Game Theory with Economic Applications,, Elsevier.

    More about this item

    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
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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