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Network formation with heterogeneous agents and absolute friction

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  • Thomas Demuynck
  • Joost Vandenbossche

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
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  • Thomas Demuynck & Joost Vandenbossche, 2013. "Network formation with heterogeneous agents and absolute friction," ULB Institutional Repository 2013/252237, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:ulb:ulbeco:2013/252237
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    Cited by:

    1. 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.
    2. Olaizola, By Norma & Valenciano, Federico, 2021. "Efficiency and stability in the connections model with heterogeneous nodes," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 490-503.
    3. 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.
    4. Mohsen Mosleh & Peter Ludlow & Babak Heydari, 2016. "Distributed Resource Management in Systems of Systems: An Architecture Perspective," Systems Engineering, John Wiley & Sons, vol. 19(4), pages 362-374, July.
    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. Margherita Comola & Mariapia Mendola, 2015. "Formation of Migrant Networks," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(2), pages 592-618, April.
    8. Babak Heydari & Mohsen Mosleh & Kia Dalili, 2015. "Efficient Network Structures with Separable Heterogeneous Connection Costs," Papers 1504.06634, arXiv.org, revised Dec 2015.
    9. Heydari, Babak & Mosleh, Mohsen & Dalili, Kia, 2015. "Efficient Network Structures with Separable Heterogeneous Connection Costs," MPRA Paper 63968, University Library of Munich, Germany.
    10. Comola, Margherita & Fafchamps, Marcel, 2014. "Estimating Mis-reporting in Dyadic Data: Are Transfers Mutually Beneficial?," IZA Discussion Papers 8664, Institute of Labor Economics (IZA).
    11. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    12. Arcand, Jean-Louis & Fafchamps, Marcel, 2012. "Matching in community-based organizations," Journal of Development Economics, Elsevier, vol. 98(2), pages 203-219.
    13. Margherita Comola & Marcel Fafchamps, 2015. "An Experimental Study of Decentralized Link Formation with Competition," NBER Working Papers 21758, National Bureau of Economic Research, Inc.

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    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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