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Boosting cooperation between agents in diverse groups: a dynamical model of prosocial behavior, free-riding and coercive solutions

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Listed:
  • Solferino, Nazaria
  • Taurino, SerenaFiona
  • Tessitore, M.Elisabetta

Abstract

Cooperation is usually stronger towards in-group members, because giving an upright signal about themselves implies higher possibilities of reciprocity among members with the same social identity. We examine the case where collaboration between two groups is a mandatory condition to achieve success in a particular project, but in the first one, the social identity is quite strong. We show that the existence of a small share of prosocial players in the first group can create a sort of "imitation effect" so that each new member puts more effort in cooperating with the outsiders. On the other side, to avoid free-riding effort should be conditional to the other's commitment. This way to boost cooperation is usually more efficient than a coercive strategy in the presence of significant sized majorities or feelings of resentments. Our analysis suggests that it is appropriate, under some circumstances, to stimulate a multicultural paradigm devoted to value and manage diversity through an acculturation process emphasizing adaptation, interdependence, and mutual appreciation of different cultures.

Suggested Citation

  • Solferino, Nazaria & Taurino, SerenaFiona & Tessitore, M.Elisabetta, 2016. "Boosting cooperation between agents in diverse groups: a dynamical model of prosocial behavior, free-riding and coercive solutions," MPRA Paper 71283, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:71283
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    File URL: https://mpra.ub.uni-muenchen.de/71283/1/MPRA_paper_71283.pdf
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    References listed on IDEAS

    as
    1. Gary Charness & Matthew Rabin, 2002. "Understanding Social Preferences with Simple Tests," The Quarterly Journal of Economics, Oxford University Press, vol. 117(3), pages 817-869.
    2. Ernst Fehr & Klaus M. Schmidt, 1999. "A Theory of Fairness, Competition, and Cooperation," The Quarterly Journal of Economics, Oxford University Press, vol. 114(3), pages 817-868.
    3. Donna Harris & Benedikt Herrmann & Andreas Kontoleon & Jonathan Newton, 2015. "Is it a norm to favour your own group?," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 491-521, September.
    4. Leonardo Becchetti & Giuseppina Gianfreda, 2007. "Contagious "Social Market Enterprises": The Role of Fair Traders," Rivista di Politica Economica, SIPI Spa, vol. 97(3), pages 51-84, May-June.
    5. Urs Fischbacher & Simon Gachter, 2010. "Social Preferences, Beliefs, and the Dynamics of Free Riding in Public Goods Experiments," American Economic Review, American Economic Association, vol. 100(1), pages 541-556, March.
    6. repec:bla:jecsur:v:32:y:2018:i:3:p:683-704 is not listed on IDEAS
    7. Roman M. Sheremeta, 2018. "Behavior In Group Contests: A Review Of Experimental Research," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 683-704, July.
    8. Blanco, Mariana & Engelmann, Dirk & Koch, Alexander K. & Normann, Hans-Theo, 2014. "Preferences and beliefs in a sequential social dilemma: a within-subjects analysis," Games and Economic Behavior, Elsevier, vol. 87(C), pages 122-135.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Cooperation; Dynamical Analysis; Groups; Identity.;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations

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