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Repeated Games with Frequent Signals-super-

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Author Info
Drew Fudenberg (Department of Economics, Harvard University)
David K. Levine (Department of Economics, Washington University in St. Louis)

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Abstract

We study repeated games with frequent actions and frequent imperfect public signals, where the signals are aggregates of many discrete events, such as sales or tasks. The high-frequency limit of the equilibrium set depends both on the probability law governing the discrete events and on how many events are aggregated into a single signal. When the underlying events have a binomial distribution, the limit equilibria correspond to the equilibria of the associated continuous-time game with diffusion signals, but other event processes that aggregate to a diffusion limit can have a different set of limit equilibria. Thus the continuous-time game need not be a good approximation of the high-frequency limit when the underlying events have three or more possible values. (c) 2009 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology..

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File URL: http://www.mitpressjournals.org/doi/pdfplus/10.1162/qjec.2009.124.1.233
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Publisher Info
Article provided by MIT Press in its journal Quarterly Journal of Economics.

Volume (Year): 124 (2009)
Issue (Month): 1 (February)
Pages: 233-265
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Handle: RePEc:tpr:qjecon:v:124:y:2009:i:1:p:233-265

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This page was last updated on 2009-12-12.


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