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Individual Risk Preferences And Collective Outcomes In The Evolution Of Exchange Networks

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  • Andreas Flache

Abstract

Recent research argues that individual risk aversion favors cooperation in social dilemmas. The argument focuses on conditional cooperation in repeated interaction. The more risk averse actors are, the less they are inclined to put at risk ongoing cooperative relationships by attempts at unilateral exploitation. I argue that this reasoning may not suffice to capture risk effects in exchange networks, where actors face both decisions about cooperation and decisions about selection of new partners. I present a model that combines both decisions. Consistent with previous analyses, the model predicts that individual risk aversion favors rational cooperation in ongoing dyadic exchanges. However, simulations also reveal that risk aversion may negatively affect cooperation through reduced mobility in partner search. If actors consider partner change as risky, then risk-averse actors may stick to sub-optimal relationships, even if better alternatives are available that allow for higher levels of cooperative exchanges. Further simulations show nonlinear effects of individual risk preferences on the density and efficiency of exchange networks.

Suggested Citation

  • Andreas Flache, 2001. "Individual Risk Preferences And Collective Outcomes In The Evolution Of Exchange Networks," Rationality and Society, , vol. 13(3), pages 304-348, August.
  • Handle: RePEc:sae:ratsoc:v:13:y:2001:i:3:p:304-348
    DOI: 10.1177/104346301013003002
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    References listed on IDEAS

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    4. Andreas Flache & Rainer Hegselmann, 1998. "Understanding Complex Social Dynamics: a Plea for Cellular Automata Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-1.
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    Cited by:

    1. Muñoz-Herrera, Manuel & Dijkstra, Jacob & Flache, Andreas & Wittek, Rafael, 2021. "Collaborative production networks among unequal actors," Network Science, Cambridge University Press, vol. 9(1), pages 1-17, March.
    2. Josep M. Pujol & Andreas Flache & Jordi Delgado & Ramon Sangüesa, 2005. "How Can Social Networks Ever Become Complex? Modelling the Emergence of Complex Networks from Local Social Exchanges," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-12.
    3. Li, Yan & Ye, Hang, 2018. "Effect of the migration mechanism based on risk preference on the evolution of cooperation," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 621-632.
    4. M.A.L.M. van Assen & C.C.P. Snijders, 2010. "The effect of nonlinear utility on behaviour in repeated prisoner’s dilemmas," Rationality and Society, , vol. 22(3), pages 301-332, August.

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