IDEAS home Printed from https://ideas.repec.org/p/net/wpaper/0516.html
   My bibliography  Save this paper

Social Networking And Individual Outcomes: Individual Decisions And Market Context

Author

Listed:

Abstract

This paper examines social interactions when social networking is endogenous. It employs a linear-quadratic model that accommodates contextual e®ects, and endogenous local inter- actions, that is where individuals react to the decisions of their neighbors, and endogenous global ones, where individuals react to the mean decision in the economy, both with a lag. Unlike the simple V AR(1) structural model of individual interactions, the planner's problem here involves intertemporal optimization and leads to a system of linear di®erence equations with expectations. It highlights an asset-like property of socially optimal outcomes in every period which helps characterize the shadow values of connections among agents. Endogenous networking is easiest to characterize when individuals choose weights of social attachment to other agents. It highlights a simultaneity between decisions and patterns of social at- tachment. The paper also poses the inverse social interactions problem, asking whether it is possible to design a social network whose agents' decisions will obey an arbitrarily speci¯ed variance covariance matrix.

Suggested Citation

  • YANNIS M. IOANNIDES & Adriaan R. Soetevent, 2005. "Social Networking And Individual Outcomes: Individual Decisions And Market Context," Working Papers 05-16, NET Institute, revised Oct 2005.
  • Handle: RePEc:net:wpaper:0516
    as

    Download full text from publisher

    File URL: http://www.netinst.org/Ioannides_Soetevent.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Binder, Michael & Pesaran, M Hashem, 1998. "Decision Making in the Presence of Heterogeneous Information and Social Interactions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 1027-1052, November.
    2. Edward L. Glaeser & Bruce I. Sacerdote & Jose A. Scheinkman, 2003. "The Social Multiplier," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 345-353, 04/05.
    3. Ioannides, Yannis M. & Zabel, Jeffrey E., 2008. "Interactions, neighborhood selection and housing demand," Journal of Urban Economics, Elsevier, vol. 63(1), pages 229-252, January.
    4. David K. Backus & Bryan R. Routledge & Stanley E. Zin, 2005. "Exotic Preferences for Macroeconomists," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 319-414, National Bureau of Economic Research, Inc.
    5. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    6. Kosfeld Michael, 2004. "Economic Networks in the Laboratory: A Survey," Review of Network Economics, De Gruyter, vol. 3(1), pages 1-23, March.
    7. Boyan Jovanovic, 1987. "Micro Shocks and Aggregate Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 395-409.
    8. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    9. Reichlin, Lucrezia, 2002. "Factor Models in Large Cross-Sections of Time Series," CEPR Discussion Papers 3285, C.E.P.R. Discussion Papers.
    Full references (including those not matched with items on IDEAS)

    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. Ioannides, Yannis M. & Soetevent, Adriaan R., 2007. "Social networking and individual outcomes beyond the mean field case," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 369-390.
    2. Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, September.
    3. Yannis M. Ioannides & Giorgio Topa, 2010. "Neighborhood Effects: Accomplishments And Looking Beyond Them," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 343-362, February.
    4. ÖZGÜR, Onur & BISIN, Alberto, 2011. "Dynamic Linear Economies with Social Interactions," Cahiers de recherche 04-2011, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    5. Giulio Zanella, 2004. "Social Interactions and Economic Behavior," Department of Economics University of Siena 441, Department of Economics, University of Siena.
    6. Krauth, Brian V., 2006. "Simulation-based estimation of peer effects," Journal of Econometrics, Elsevier, vol. 133(1), pages 243-271, July.
    7. Luigi Guiso & Chaoqun Lai & Makoto Nirei, 2017. "An Empirical Study of Interaction-Based Aggregate Investment Fluctuations," The Japanese Economic Review, Springer, vol. 68(2), pages 137-157, June.
    8. Brock,W.A. & Durlauf,S.N., 2005. "Social interactions and macroeconomics," Working papers 5, Wisconsin Madison - Social Systems.
    9. Adam S. Booij & Edwin Leuven & Hessel Oosterbeek, 2017. "Ability Peer Effects in University: Evidence from a Randomized Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 547-578.
    10. Loh, Chung-Ping A. & Li, Qiang, 2013. "Peer effects in adolescent bodyweight: Evidence from rural China," Social Science & Medicine, Elsevier, vol. 86(C), pages 35-44.
    11. Chen, Qi & Goldstein, Itay & Jiang, Wei, 2010. "Payoff complementarities and financial fragility: Evidence from mutual fund outflows," Journal of Financial Economics, Elsevier, vol. 97(2), pages 239-262, August.
    12. Eric Maurin & Julie Moschion, 2009. "The Social Multiplier and Labor Market Participation of Mothers," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 251-272, January.
    13. Giulio Zanella, 2004. "Discrete Choice with Social Interactions and Endogenous Memberships," Department of Economics University of Siena 442, Department of Economics, University of Siena.
    14. Patrick Bayer & Stephen L. Ross, 2006. "Identifying Individual and Group Effects in the Presence of Sorting: A Neighborhood Effects Application," Working papers 2006-13, University of Connecticut, Department of Economics, revised Jan 2009.
    15. Emilie Caldeira & Martial Foucault & Gregoire Rota-Graziosi, 2015. "Decentralization in Africa and the nature of local governments’ competition: evidence from Benin," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(6), pages 1048-1076, December.
    16. Florence Goffette-Nagot & Claire Dujardin, 2005. "Neighborhood effects, public housing and unemployment in France," Working Papers 0505, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    17. Assar Lindbeck & Mårten Palme & Mats Persson, 2016. "Sickness Absence and Local Benefit Cultures," Scandinavian Journal of Economics, Wiley Blackwell, vol. 118(1), pages 49-78, January.
    18. Xu Lin, 2010. "Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 825-860, October.
    19. Gaudeul, Alexia & Giannetti, Caterina, 2011. "The role of reciprocation in social network formation, with an application to blogging," MPRA Paper 34094, University Library of Munich, Germany.
    20. Muzhe Yang & Hsien-Ming Lien & Shin-Yi Chou, 2014. "Is There A Physician Peer Effect? Evidence From New Drug Prescriptions," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 116-137, January.

    More about this item

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • J0 - Labor and Demographic Economics - - General

    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:net:wpaper:0516. 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: Nicholas Economides (email available below). General contact details of provider: http://www.NETinst.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.