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The Relative Contributions of Private Information Sharing and Public Information Releases to Information Aggregation

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  • Duffie, Darrell

    (Stanford University)

  • Malamud, Semyon

    (ETH Zurich and Swiss Finance Institute)

  • Manso, Gustavo

    (MIT)

Abstract

We calculate learning rates when agents are informed through both public and private observation of other agents' actions. We provide an explicit solution for the evolution of the distribution of posterior beliefs. When the private learning channel is present, we show that 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

Paper provided by Stanford University, Graduate School of Business in its series Research Papers with number 2023.

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Date of creation: Mar 2009
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Handle: RePEc:ecl:stabus:2023

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  1. Vives, X., 1990. "How Fast Do Rational Agents Learn?," UFAE and IAE Working Papers 135-90, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
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  8. Ricardo Lagos & Guillaume Rocheteau, 2009. "Liquidity in Asset Markets With Search Frictions," Econometrica, Econometric Society, vol. 77(2), pages 403-426, 03.
  9. Darrell Duffie & Semyon Malamud & Gustavo Manso, 2009. "Information Percolation With Equilibrium Search Dynamics," Econometrica, Econometric Society, vol. 77(5), pages 1513-1574, 09.
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  17. Darrell Duffie & Nicolae Garleanu & Lasse Heje Pedersen, 2005. "Over-the-Counter Markets," Econometrica, Econometric Society, vol. 73(6), pages 1815-1847, November.
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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. Darrell Duffie & Semyon Malamud & Gustavo Manso, 2011. "Information Percolation in Segmented Markets," NBER Working Papers 17295, National Bureau of Economic Research, Inc.
  3. 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.
  4. Mikhail Golosov & Aleh Tsyvinski & Guido Lorenzoni, 2008. "Decentralized trading with private information," 2008 Meeting Papers 391, Society for Economic Dynamics.
  5. Manela, Asaf, 2014. "The value of diffusing information," Journal of Financial Economics, Elsevier, vol. 111(1), pages 181-199.
  6. Moscarini, Giuseppe & Wright, Randall, 2010. "Introduction to Search Theory and Applications," Journal of Economic Theory, Elsevier, vol. 145(4), pages 1319-1324, July.

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