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Social networking and individual outcomes beyond the mean field case

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  • Ioannides, Yannis M.
  • Soetevent, Adriaan R.

Abstract

We study individually optimized continuous outcomes in a dynamic environment in the presence of social interactions, and where the interaction topology may be either exogenous and time varying, or endogenous. The model accommodates more general social effects than those of the mean-field type. We address endogenous networking by assuming that each individual chooses the weights she attaches to the characteristics and the decisions of other agents. This amounts to choosing the elements of a row of a weighted adjacency matrix. Endogenous social networking thus involves simultaneity between decisions and patterns of directed social interactions.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Economic Behavior & Organization.

Volume (Year): 64 (2007)
Issue (Month): 3-4 ()
Pages: 369-390

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Handle: RePEc:eee:jeborg:v:64:y:2007:i:3-4:p:369-390

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Web page: http://www.elsevier.com/locate/jebo

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Keywords: Social interactions Social networks Neighborhood effects Endogenous networking Social intermediation Econometric identification Strong versus weak ties Value of social connections;

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Citations

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Cited by:
  1. Darlene C. Chisolm & Margaret McMillan & George Norman, 2007. "Product Differentiation and Film Programming Choice: Do First-Run Movie Theatres Show the Same Films?," Discussion Papers Series, Department of Economics, Tufts University 0713, Department of Economics, Tufts University.
  2. Gilbert E. Metcalf & Jongsang Park, 2005. "A Comment on the Role of Prices for Excludable Public Goods," Discussion Papers Series, Department of Economics, Tufts University 0524, Department of Economics, Tufts University.
  3. Cabrales, Antonio & Calvó-Armengol, Antoni & Zenou, Yves, 2010. "Social Interactions and Spillovers," CEPR Discussion Papers 8127, C.E.P.R. Discussion Papers.
  4. Horst, Ulrich, 2010. "Dynamic systems of social interactions," Journal of Economic Behavior & Organization, Elsevier, vol. 73(2), pages 158-170, February.
  5. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2007. "Identification of Peer Effects through Social Networks," IZA Discussion Papers 2652, Institute for the Study of Labor (IZA).
  6. Yannis M. Ioannides, 2005. "Random Graphs and Social Networks: An Economics Perspective," Discussion Papers Series, Department of Economics, Tufts University 0518, Department of Economics, Tufts University.
  7. Grajzl, Peter & Baniak, Andrzej, 2012. "Mandating behavioral conformity in social groups with conformist members," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 479-493.
  8. Darlene C. Chisholm & George Norman, 2006. "When to Exit a Product: Evidence from the U. S. Motion-Picture Exhibition Market," American Economic Review, American Economic Association, vol. 96(2), pages 57-61, May.

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