IDEAS home Printed from https://ideas.repec.org/p/gat/wpaper/1109.html
   My bibliography  Save this paper

On the Interaction between Heterogeneity and Decay in Two-way Flow Models

Author

Listed:
  • Pascal Billand

    (Université de Lyon, Lyon, F-69007, France ; Université Jean Monnet, Saint-Etienne, F-42000, France ; CNRS, GATE Lyon St Etienne, Saint-Etienne, F-42000, France)

  • Christophe Bravard

    (Université de Lyon, Lyon, F-69007, France ; Université Jean Monnet, Saint-Etienne, F-42000, France ; CNRS, GATE Lyon St Etienne, Saint-Etienne, F-42000, France)

  • Sudipta Sarangi

    (Department of Economics, Virginia Tech and Louisiana State University)

Abstract

In this paper we examine the role played by heterogeneity in the popular “connections model” of Jackson and Wolinsky (1996). We prove that under heterogeneity in values or decay involving only two degrees of freedom, all networks can supported as Nash. Moreover, we show that Nash networks may not always exist. In the absence of decay, neither result can be found in a model with value heterogeneity. Finally, we show that on reducing heterogeneity, both the earlier “anything goes” result and the non-existence problem disappear.

Suggested Citation

  • Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2011. "On the Interaction between Heterogeneity and Decay in Two-way Flow Models," Working Papers 1109, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    • Handle: RePEc:gat:wpaper:1109
    as

    Download full text from publisher

    File URL: ftp://ftp.gate.cnrs.fr/RePEc/2011/1109.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Galeotti, Andrea & Goyal, Sanjeev & Kamphorst, Jurjen, 2006. "Network formation with heterogeneous players," Games and Economic Behavior, Elsevier, vol. 54(2), pages 353-372, February.
    2. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    3. Hojman, Daniel A. & Szeidl, Adam, 2008. "Core and periphery in networks," Journal of Economic Theory, Elsevier, vol. 139(1), pages 295-309, March.
    4. Jackson, Matthew O. & Watts, Alison, 2002. "The Evolution of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 106(2), pages 265-295, October.
    5. Hans Haller & Jurjen Kamphorst & Sudipta Sarangi, 2007. "(Non-)existence and Scope of Nash Networks," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 31(3), pages 597-604, June.
    6. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    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. Hitomu Kotani & Muneta Yokomatsu, 2019. "Quantitative evaluation of the roles of community events and artifacts for social network formation: a multilayer network model of a community of practice," Computational and Mathematical Organization Theory, Springer, vol. 25(4), pages 428-463, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chenghong Luo & Ana Mauleon & Vincent Vannetelbosch, 2021. "Network formation with myopic and farsighted players," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(4), pages 1283-1317, June.
    2. 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.
    3. repec:ehu:ikerla:8633 is not listed on IDEAS
    4. Fan-chin Kung & Ping Wang, 2012. "A spatial network approach to urban configurations," Canadian Journal of Economics, Canadian Economics Association, vol. 45(1), pages 314-344, February.
    5. Breitmoser, Yves & Vorjohann, Pauline, 2013. "Efficient structure of noisy communication networks," Mathematical Social Sciences, Elsevier, vol. 66(3), pages 396-409.
    6. Olaizola, Norma & Valenciano, Federico, 2014. "Asymmetric flow networks," European Journal of Operational Research, Elsevier, vol. 237(2), pages 566-579.
    7. repec:ehu:ikerla:6257 is not listed on IDEAS
    8. Billand, Pascal & Bravard, Christophe & Sarangi, Sudipta, 2012. "Existence of Nash networks and partner heterogeneity," Mathematical Social Sciences, Elsevier, vol. 64(2), pages 152-158.
    9. Erol, Selman & Vohra, Rakesh, 2022. "Relationship externalities," Journal of Economic Theory, Elsevier, vol. 206(C).
    10. Ping Sun & Elena Parilina, 2024. "Stable and efficient networks with neighborhood‐influenced externalities," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 26(3), June.
    11. Acemoglu, Daron & Makhdoumi, Ali & Malekian, Azarakhsh & Ozdaglar, Asuman, 2017. "Privacy-constrained network formation," Games and Economic Behavior, Elsevier, vol. 105(C), pages 255-275.
    12. Mauro Napoletano & Stefano Battiston & Michael D König & Frank Schweitzer, 2008. "The efficiency and evolution of R&D Networks," Working Papers hal-01066189, HAL.
    13. Dotan Persitz, 2009. "Power in the Heterogeneous Connections Model: The Emergence of Core-Periphery Networks," Working Papers 2009.42, Fondazione Eni Enrico Mattei.
    14. repec:hal:wpspec:info:hdl:2441/9933 is not listed on IDEAS
    15. Pascal Billand & Christophe Bravard & Sudipta Sarangi & J. Kamphorst, 2011. "Confirming information flows in networks," Post-Print halshs-00672351, HAL.
    16. Gersbach, Hans & Haller, Hans, 2022. "Gainers and losers from market integration," Mathematical Social Sciences, Elsevier, vol. 116(C), pages 32-39.
    17. Haller, Hans & Hoyer, Britta, 2019. "The common enemy effect under strategic network formation and disruption," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 146-163.
    18. Carayol, Nicolas & Roux, Pascale, 2009. "Knowledge flows and the geography of networks: A strategic model of small world formation," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 414-427, August.
    19. 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.
    20. Sawa, Ryoji, 2014. "Coalitional stochastic stability in games, networks and markets," Games and Economic Behavior, Elsevier, vol. 88(C), pages 90-111.
    21. Goeree, Jacob K. & Riedl, Arno & Ule, Aljaz, 2009. "In search of stars: Network formation among heterogeneous agents," Games and Economic Behavior, Elsevier, vol. 67(2), pages 445-466, November.
    22. Kim, Chongmin & Wong, Kam-Chau, 2007. "Network formation and stable equilibrium," Journal of Economic Theory, Elsevier, vol. 133(1), pages 536-549, March.
    23. Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2008. "Existence of Nash networks in one-way flow models," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 37(3), pages 491-507, December.

    More about this item

    Keywords

    connections model; decay; two-way flow models;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gat:wpaper:1109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nelly Wirth The email address of this maintainer does not seem to be valid anymore. Please ask Nelly Wirth to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/gateefr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.