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Coordination in evolving networks with endogenous decay

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  • Francesco Feri

    ()

  • Miguel Meléndez-Jiménez

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Abstract

This paper studies an evolutionary model of network formation with endogenous decay, in which agents benefit both from direct and indirect connections. In addition to forming (costly) links, agents choose actions for a coordination game that determines the level of decay of each link. We address the issues of coordination (long-run equilibrium selection) and network formation by means of stochastic stability techniques. We find that the long-run behavior of the system depends on a fine interplay of the link cost and the trade-off between efficiency and risk-dominance. Copyright Springer-Verlag Berlin Heidelberg 2013

Suggested Citation

  • Francesco Feri & Miguel Meléndez-Jiménez, 2013. "Coordination in evolving networks with endogenous decay," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 955-1000, November.
  • Handle: RePEc:spr:joevec:v:23:y:2013:i:5:p:955-1000 DOI: 10.1007/s00191-013-0313-9
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Hellmann, Tim & Staudigl, Mathias, 2014. "Evolution of social networks," European Journal of Operational Research, Elsevier, vol. 234(3), pages 583-596.
    2. De Jaegher, K. & Kamphorst, J.J.A., 2015. "Minimal two-way flow networks with small decay," Journal of Economic Behavior & Organization, Elsevier, vol. 109(C), pages 217-239.
    3. Enrique Fatas & Miguel Meléndez-Jiménez & Antonio Morales & Hector Solaz, 2015. "Public goods and decay in networks," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 6(1), pages 73-90, March.
    4. Charoensook, Banchongsan, 2012. "A noncooperative model of network formation with decreasing productivity," MPRA Paper 36570, University Library of Munich, Germany.

    More about this item

    Keywords

    Coordination; Networks; Risk-dominance; Stochastic stability; C72; C73; D83; D85;

    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
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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