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Review of Economic Studies Vol. 80 No. 3 2013

A Foundation for Markov Equilibria in Sequential Games with Finite Social Memory

V. Bhaskar1,2; G. J. Mailath3,4; Stephen Morris5

1 UCL Australia · 2 University College London · 3 California University of Pennsylvania · 4 University of Pennsylvania · 5 Princeton University

Abstract

We study stochastic games with an infinite horizon and sequential moves played by an arbitrary number of players. We assume that social memory is finite--every player, except possibly one, is finitely lived and cannot observe events that are sufficiently far back in the past. This class of games includes games between a long-run player and a sequence of short-run players, and games with overlapping generations of players. An equilibrium is purifiable if some close-by behaviour is consistent with equilibrium when agents' payoffs in each period are perturbed additively and independently. We show that only Markov equilibria are purifiable when social memory is finite. Thus if a game has at most one long-run player, all purifiable equilibria are Markov.

DOI
10.1093/restud/rds047
Volume
80
Issue
3
Pages
925-948
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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