Learning a population distribution

Seung Han Yoo

Journal of Economic Dynamics and Control, 2014, vol. 48, issue C, 188-201

Abstract: This paper introduces a dynamic Bayesian game with an unknown population distribution. Players do not know the true population distribution and assess it based on their private observations using Bayes׳ rule. First, we show the existence and characterization of an equilibrium in which each player׳s strategy is a function not only of the player׳s type but also of experience. Second, we show that each player׳s initial belief about the population distribution converges almost surely to a “correct” belief.

Keywords: Bayesian games; Dynamic games; Bayesian learning (search for similar items in EconPapers)
JEL-codes: C72 C73 D83 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016518891400222X
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Learning a Population Distribution (2014)
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:eee:dyncon:v:48:y:2014:i:c:p:188-201

DOI: 10.1016/j.jedc.2014.09.010

Access Statistics for this article

Journal of Economic Dynamics and Control is currently edited by J. Bullard, C. Chiarella, H. Dawid, C. H. Hommes, P. Klein and C. Otrok

More articles in Journal of Economic Dynamics and Control from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).