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Information Trading in Social Networks

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  • Karavaev, Andrei

Abstract

This paper considers information trading in fixed networks of economic agents who can only observe and trade with other agents with whom they are directly connected. We study the nature of price competition for information in this environment. The linear network, when the agents are located at the integer points of the real line, is a specific example I completely characterize. For the linear network there always exists a stationary equilibrium, where the strategies do not depend on time. I show that there is an equilibrium where any agent has a nonzero probability of staying uninformed forever. Under certain initial conditions this equilibrium is a limit of equilibria of finite-horizon games. The role of a transversality condition is emphasized, namely that the price in the transaction should not exceed the expected utility of all the agents who get the information due to the transaction. I show that the price offered does not converge to zero with time.

Suggested Citation

  • Karavaev, Andrei, 2008. "Information Trading in Social Networks," MPRA Paper 9110, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:9110
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    References listed on IDEAS

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    1. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    2. Drew Fudenberg & David Levine & Eric Maskin, 2008. "The Folk Theorem With Imperfect Public Information," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 12, pages 231-273, World Scientific Publishing Co. Pte. Ltd..
    3. Muto, Shigeo, 1986. "An Information Good Market with Symmetric Externalities," Econometrica, Econometric Society, vol. 54(2), pages 295-312, March.
    4. Polanski, Arnold, 2007. "A decentralized model of information pricing in networks," Journal of Economic Theory, Elsevier, vol. 136(1), pages 497-512, September.
    5. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    6. MUTO, Shigeo, 1986. "An information good market with symmetric externalities," LIDAM Reprints CORE 688, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Abhijit Banerjee & Kaivan Munshi, 2000. "Networks, Migration and Investment: Insiders and Outsiders in Tirupur's Production Cluster," William Davidson Institute Working Papers Series 313, William Davidson Institute at the University of Michigan.
    8. Ilan Eshel & Larry Samuelson & Avner Shaked, "undated". "Altruists Egoists and Hooligans in a Local Interaction Model," ELSE working papers 005, ESRC Centre on Economics Learning and Social Evolution.
    9. Eshel, Ilan & Samuelson, Larry & Shaked, Avner, 1998. "Altruists, Egoists, and Hooligans in a Local Interaction Model," American Economic Review, American Economic Association, vol. 88(1), pages 157-179, March.
    10. Belli, Pedro, 1997. "The comparative advantage of government : a review," Policy Research Working Paper Series 1834, The World Bank.
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    More about this item

    Keywords

    Networks; information trading; information diffusion;
    All these keywords.

    JEL classification:

    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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