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Information Percolation with Equilibrium Search Dynamics

Author

Listed:
  • Darrell DUFFIE

    (Stanford University)

  • Semyon MALAMUD

    (ETH Zurich and Swiss Finance Institute)

  • Gustavo MANSO

    (MIT)

Abstract

We solve for the equilibrium dynamics of information sharing in a large population. Each agent is endowed with signals regarding the likely outcome of a random variable of common concern. Individuals choose the effort with which they search for others from whom they can gather additional information. When two agents meet, they share their information. The information gathered is further shared at subsequent meetings, and so on. Equilibria exist in which agents search maximally until they acquire sufficient information precision, and then minimally. A tax whose proceeds are used to subsidize the costs of search improves information sharing and can in some cases increase welfare. On the other hand,endowing agents with public signals reduces information sharing and can in some cases decrease welfare.

Suggested Citation

  • Darrell DUFFIE & Semyon MALAMUD & Gustavo MANSO, 2009. "Information Percolation with Equilibrium Search Dynamics," Swiss Finance Institute Research Paper Series 09-02, Swiss Finance Institute.
    • Handle: RePEc:chf:rpseri:rp0902
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    Keywords

    search; matching; equilibrium; information; percolation;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium

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