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Learning by Matching

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Author Info
Manuel Amador
Pierre-Olivier Weill () (Finance New York University)

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Abstract

We study how a continuum of agents learn about disseminated information in a dynamic beauty contest model when they do not observe aggregate variables, such as prices or quantities, but randomly observe each other's actions. We solve for the market equilibrium and find that the average learning curve is S-shaped: learning is slow initially, intensifies rapidly and finally converges slowly to the truth. We show that increasing public information always slows down learning in the long run. Under some conditions, even if agents have no coordination motive, it also reduces welfare. Lastly, optimal diffusion of information requires that agents ``strive to be different'': agents need to be rewarded for choosing actions away from the population average

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Publisher Info
Paper provided by Society for Economic Dynamics in its series 2006 Meeting Papers with number 373.

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Date of creation: 03 Dec 2006
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Handle: RePEc:red:sed006:373

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Postal: Society for Economic Dynamics Anne Stubing CV Starr Center for Applied Economics 269 Mercer Street, Room 303 New York University New York, NY 10003
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Web page: http://www.EconomicDynamics.org/society.htm
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Related research
Keywords: Learning Search and Matching

Find related papers by JEL classification:
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information

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This page was last updated on 2008-9-27.


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