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The relative contributions of private information sharing and public information releases to information aggregation

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  • Duffie, Darrell
  • Malamud, Semyon
  • Manso, Gustavo

Abstract

We calculate learning rates when agents are informed through public and private observation of other agents' actions. We characterize the evolution of the distribution of posterior beliefs. If the private learning channel is present, convergence of the distribution of beliefs to the perfect-information limit is exponential at a rate equal to the sum of the mean arrival rate of public information and the mean rate at which individual agents are randomly matched with other agents. If, however, there is no private information sharing, then convergence is exponential at a rate strictly lower than the mean arrival rate of public information.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Economic Theory.

Volume (Year): 145 (2010)
Issue (Month): 4 (July)
Pages: 1574-1601

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Handle: RePEc:eee:jetheo:v:145:y:2010:i:4:p:1574-1601

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Web page: http://www.elsevier.com/locate/inca/622869

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Keywords: Information percolation Search Learning rates;

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Citations

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Cited by:
  1. Amador, Manuel & Weill, Pierre-Olivier, 2012. "Learning from private and public observations of othersʼ actions," Journal of Economic Theory, Elsevier, vol. 147(3), pages 910-940.
  2. Mikhail Golosov & Aleh Tsyvinski & Guido Lorenzoni, 2008. "Decentralized trading with private information," 2008 Meeting Papers 391, Society for Economic Dynamics.
  3. Manela, Asaf, 2014. "The value of diffusing information," Journal of Financial Economics, Elsevier, vol. 111(1), pages 181-199.
  4. Moscarini, Giuseppe & Wright, Randall, 2010. "Introduction to Search Theory and Applications," Journal of Economic Theory, Elsevier, vol. 145(4), pages 1319-1324, July.
  5. Yang Lu & Wing Suen & Heng Chen, 2013. "The Power of Whispers: A Theory of Rumor, Communication and Revolution," 2013 Meeting Papers 411, Society for Economic Dynamics.
  6. Darrell Duffie & Semyon Malamud & Gustavo Manso, 2011. "Information Percolation in Segmented Markets," NBER Working Papers 17295, National Bureau of Economic Research, Inc.

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