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Network Formation with Heterogeneous Agents and Absolute Friction

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  • Joost Vandenbossche

    ()

  • Thomas Demuynck

    ()

Abstract

We present a model of strategic network formation with absolute friction and heterogeneous agents. The individual payoffs from a given network are determined by the difference of an agent specific utility function that depends on the number of her direct links and the sum of her link-costs. These link-costs decompose in a symmetric function that represents the social distance between the two agents and an agent specific function representing the partner’s quality. From a theoretical point of view, we analyze strong pairwise stable networks (Belleflamme and Bloch, Int Econ Rev 45(2):387–411, 2004 ) and show that our model always has a unique strong pairwise stable network which is also strongly stable (Dutta and Mutuswami, J Econ Theory, 76:322–344, 1997 ). From a practical point of view, we provide an algorithm that reproduces this stable network from information on the individual payoff structure. We illustrate the use of this algorithm by applying it to an informal risk sharing network data set from the village of Nyakatoke in rural Tanzania. Copyright Springer Science+Business Media, LLC. 2013

Suggested Citation

  • Joost Vandenbossche & Thomas Demuynck, 2013. "Network Formation with Heterogeneous Agents and Absolute Friction," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 23-45, June.
  • Handle: RePEc:kap:compec:v:42:y:2013:i:1:p:23-45
    DOI: 10.1007/s10614-012-9315-1
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Rong, Rong & Houser, Daniel, 2015. "Growing stars: A laboratory analysis of network formation," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 380-394.
    2. Heydari, Babak & Mosleh, Mohsen & Dalili, Kia, 2015. "Efficient Network Structures with Separable Heterogeneous Connection Costs," MPRA Paper 63968, University Library of Munich, Germany.
    3. Comola, Margherita & Fafchamps, Marcel, 2014. "Estimating Mis-reporting in Dyadic Data: Are Transfers Mutually Beneficial?," IZA Discussion Papers 8664, Institute for the Study of Labor (IZA).
    4. Margherita Comola & Marcel Fafchamps, 2017. "The Missing Transfers: Estimating Misreporting in Dyadic Data," Economic Development and Cultural Change, University of Chicago Press, vol. 65(3), pages 549-582.
    5. Heydari, Babak & Mosleh, Mohsen & Dalili, Kia, 2015. "Efficient network structures with separable heterogeneous connection costs," Economics Letters, Elsevier, vol. 134(C), pages 82-85.
    6. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    7. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    8. Margherita Comola & Mariapia Mendola, 2013. "The Formation of Migrant Networks," Development Working Papers 353, Centro Studi Luca d'Agliano, University of Milano.
    9. Arcand, Jean-Louis & Fafchamps, Marcel, 2012. "Matching in community-based organizations," Journal of Development Economics, Elsevier, vol. 98(2), pages 203-219.
    10. Margherita Comola & Marcel Fafchamps, 2015. "An Experimental Study of Decentralized Link Formation with Competition," NBER Working Papers 21758, National Bureau of Economic Research, Inc.
    11. Babak Heydari & Mohsen Mosleh & Kia Dalili, 2015. "Efficient Network Structures with Separable Heterogeneous Connection Costs," Papers 1504.06634, arXiv.org, revised Dec 2015.

    More about this item

    Keywords

    Network formation; Heterogeneity; Absolute friction; C62; C78; C79;

    JEL classification:

    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • C79 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Other

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