Abstract

This paper discuses the dynamic implications of learning in a large population coordination game, focusing on the structure of the matching proocess which describes how players meet. As in Kandori, Mailath, and Rob (1993) a combination of experimentation and myopia creates ``evolutionnary'' forces which lead to players to coordinate on the risk dominant equilibrium. To describe play with finite time horizons it is necessary to consider the rates at which the dynamic systems converge. In large populations with uniform matching, play is determined by histtorical factors. In contrast, when players interact with small sets of neighbors it is more reasonnable to assume that evolutionnary forces may determine the outcome.

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March 2008

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