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Coordination, Local Interactions, and Endogenous Neighborhood Formation

Author

Listed:
  • Giorgio Fagiolo

Abstract

The paper presents a local interaction model of coordination with spatially-located agents who simultaneously choose stage-game strategies and adaptively learn how to choose their neighbors. We analyze the behavior of the system when network externalities become eventually negative as neighborhood sizes increase. We show that the society can robustly reach in the long-run steady states characterized by high levels of coordination and small average neighborhood sizes. Moreover, we find that: (i) neighborhood adjustment allows for higher coordination than if interaction structures were static; and: (ii) large populations attain higher coordination provided that average initial neighborhood sizes are not too small.
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Suggested Citation

  • Giorgio Fagiolo, 2002. "Coordination, Local Interactions, and Endogenous Neighborhood Formation," Computing in Economics and Finance 2002 98, Society for Computational Economics.
    • Handle: RePEc:sce:scecf2:98
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    Cited by:

    1. Sommarat Chantarat & Christopher Barrett, 2012. "Social network capital, economic mobility and poverty traps," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(3), pages 299-342, September.
    2. Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2004. "Endogenous Networks In Random Population Games," Mathematical Population Studies, Taylor & Francis Journals, vol. 11(2), pages 121-147.
    3. Lanny Arvan & David Nickerson, 2006. "Private Investment, Public Aid and Endogenous Divergence in the Evolution of Urban Neighborhoods," The Journal of Real Estate Finance and Economics, Springer, vol. 32(1), pages 83-100, February.
    4. Fagiolo, Giorgio, 2005. "Endogenous neighborhood formation in a local coordination model with negative network externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 297-319, January.

    More about this item

    Keywords

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    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

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