Repeated Games with Frequent Signals
Drew Fudenberg and
David Levine
Scholarly Articles from Harvard University Department of Economics
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.
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Published in Quarterly Journal of Economics
Downloads: (external link)
http://dash.harvard.edu/bitstream/handle/1/3160491/fudenberg_repeatedgames.pdf (application/pdf)
Related works:
Journal Article: Repeated Games with Frequent Signals (2009) 
Working Paper: Repeated Games with Frequent Signals (2007) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hrv:faseco:3160491
Access Statistics for this paper
More papers in Scholarly Articles from Harvard University Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Office for Scholarly Communication ().