[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/a/anr/reveco/v1y2009p489-513.html
   My bibliography  Save this article

Networks and Economic Behavior

Author

Listed:
  • Matthew O. Jackson

    (Department of Economics, Stanford University, Stanford, California 94305-6072)

Abstract
Recent analyses of social networks, both empirical and theoretical, are discussed, with a focus on how social networks influence economic behavior, as well as how social networks form. Some challenges of such research are discussed as are some of the important considerations for the future.

Suggested Citation

  • Matthew O. Jackson, 2009. "Networks and Economic Behavior," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 489-513, May.
    • Handle: RePEc:anr:reveco:v:1:y:2009:p:489-513
    as

    Download full text from publisher

    File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev.economics.050708.143238
    Download Restriction: Full text downloads are only available to subscribers. Visit the abstract page for more information.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Mauleon, Ana & Nanumyan, Mariam & Schopohl, Simon & Vannetelbosch, Vincent, 2023. "Unions and key players in network games with conflicts and spillovers," LIDAM Discussion Papers CORE 2023012, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Herings, P.J.J. & Khan, Abhimanyu, 2022. "Network Stability under Limited Foresight," Other publications TiSEM 03f2ece9-902b-4dba-a16e-0, Tilburg University, School of Economics and Management.
    3. Gal Oestreicher-Singer & Arun Sundararajan, 2012. "The Visible Hand? Demand Effects of Recommendation Networks in Electronic Markets," Management Science, INFORMS, vol. 58(11), pages 1963-1981, November.
    4. Einmahl, John & He, Y., 2020. "Unified Extreme Value Estimation for Heterogeneous Data," Other publications TiSEM dfe6c38c-823b-4394-b4fd-a, Tilburg University, School of Economics and Management.
    5. Bennett, Daniel & Chiang, Chun-Fang & Malani, Anup, 2015. "Learning during a crisis: The SARS epidemic in Taiwan," Journal of Development Economics, Elsevier, vol. 112(C), pages 1-18.
    6. Jiang, Meiling & Gao, Qingwu & Zhuang, Jun, 2021. "Reciprocal spreading and debunking processes of online misinformation: A new rumor spreading–debunking model with a case study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    7. Sun, Guang-Zhen, 2017. "The Samuelson condition and the Lindahl scheme in networks," Journal of Public Economics, Elsevier, vol. 156(C), pages 73-80.
    8. Arun Advani & Bryony Reich, 2015. "Melting pot or salad bowl: the formation of heterogeneous communities," IFS Working Papers W15/30, Institute for Fiscal Studies.
    9. Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 471-496, September.
    10. Chih‐Sheng Hsieh & Xu Lin, 2021. "Social interactions and social preferences in social networks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 165-189, March.
    11. Lea Ellwardt & Penélope Hernández & Guillem Martínez-Canovas & Manuel Muñoz-Herrera, 2014. "Conflict and segregation in networks: An experiment on the interplay between individual preferences and social influence," Discussion Papers in Economic Behaviour 0114, University of Valencia, ERI-CES.
    12. Mihm, Maximilian & Toth, Russell, 2020. "Cooperative networks with robust private monitoring," Journal of Economic Theory, Elsevier, vol. 185(C).
    13. Erol Akçay & David Hirshleifer, 2021. "Social finance as cultural evolution, transmission bias, and market dynamics," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(26), pages 2015568118-, June.
    14. Gary Charness & Brian Jabarian & John A. List, 2023. "Generation Next: Experimentation with AI," NBER Working Papers 31679, National Bureau of Economic Research, Inc.
    15. Peter Friedrich, 2015. "Determining Social Capital By Social Accounting," Oeconomia Copernicana, Institute of Economic Research, vol. 6(1), pages 47-73, March.
    16. Jillian J Jordan & David G Rand & Samuel Arbesman & James H Fowler & Nicholas A Christakis, 2013. "Contagion of Cooperation in Static and Fluid Social Networks," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-10, June.
    17. Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Working Papers wp2018_1703, CEMFI.
    18. Patacchini, Eleonora & Arduini, Tiziano, 2016. "Residential choices of young Americans," Journal of Housing Economics, Elsevier, vol. 34(C), pages 69-81.
    19. Pandey, Siddhi Gyan, 2021. "Evolution of cooperative networks," Working Papers 21/346, National Institute of Public Finance and Policy.
    20. Meli, Venceslas Nguefoue & Njougouo, Thierry & Kongni, Steve J. & Louodop, Patrick & Fotsin, Hilaire, 2023. "Mobile oscillators network with amplification," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    21. Janmaat, Johannus & Geleta, Solomon & Loomis, John, 2019. "Detecting social network effects on willingness to pay for environmental improvements using egocentric network measures," MPRA Paper 96675, University Library of Munich, Germany.
    22. Eyal Carmi & Gal OEstreicher-Singer & Arun Sundararajan, 2010. "Is Oprah Contagious? Identifying Demand Spillovers in Product Networks," Working Papers 10-18, NET Institute.
    23. Einmahl, John & He, Y., 2020. "Unified Extreme Value Estimation for Heterogeneous Data," Discussion Paper 2020-025, Tilburg University, Center for Economic Research.
    24. Neilson, William & Wichmann, Bruno, 2014. "Social networks and non-market valuations," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 155-170.
    25. Jia-Ping Huang & Yang Zhang & Juanxi Wang, 2023. "Dynamic effects of social influence on asset prices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 671-699, July.

    More about this item

    Keywords

    networks; social networks; economic networks;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    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:anr:reveco:v:1:y:2009:p:489-513. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: http://www.annualreviews.org (email available below). General contact details of provider: http://www.annualreviews.org .

    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.