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Directed networks with spillovers

Author

Listed:
  • Pascal Billand

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Christophe Bravard

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Sudipta Sarangi

    (Department of Economics, Louisiana State University - LSU - Louisiana State University)

Abstract

We study noncooperative network formation in two types of directed networks. In the first type, called the model with global spillovers, the payoff of a player depends on the number of links she forms as well as the total number of links formed by all other players. In the second type, called the model with local spillovers, the payoff of a player depends on the number of links she forms and the total number of links formed by her immediate neighbors, as well as the number of links formed by players outside her neighborhood. For both classes of games we investigate the existence of pure strategy Nash equilibria and characterize the Nash networks under a number of different second order conditions on the payoff function.

Suggested Citation

  • Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2012. "Directed networks with spillovers," Post-Print halshs-00667684, HAL.
    • Handle: RePEc:hal:journl:halshs-00667684
    DOI: 10.1111/jpet.12000
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    Cited by:

    1. Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2011. "Local Spillovers, Convexity and the Strategic Substitutes Property in Networks," Working Papers 1110, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    2. Currarini, Sergio & Fumagalli, Elena & Panebianco, Fabrizio, 2017. "Peer effects and local congestion in networks," Games and Economic Behavior, Elsevier, vol. 105(C), pages 40-58.
    3. Christophe Bravard & Sudipta Sarangi & PHILIPP MÖHLMEIER & AGNIESZKA RUSINOWSKA & EMILY TANIMURA, 2016. "A Degree-Distance-Based Connections Model with Negative and Positive Externalities," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 18(2), pages 168-192, April.
    4. Möhlmeier, Philipp & Rusinowska, Agnieszka & Tanimura, Emily, 2018. "Competition for the access to and use of information in networks," Mathematical Social Sciences, Elsevier, vol. 92(C), pages 48-63.
    5. Bougheas, Spiros, 2022. "Contagion in networks: Stability and efficiency," Mathematical Social Sciences, Elsevier, vol. 115(C), pages 64-77.

    More about this item

    Keywords

    Networks; Game theory;

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