We apply the dynamic stochastic framework proposed by recent evolutionary literature to the class of strict supermodular games when two simple behavior rules coexist in the population, imitation and myopic optimization. We assume that myopic optimizers are able to see how well their payoff does relative to what they can get in the stage game and therefore experiment more in low payoff states. A clear-cut equilibrium selection result is obtained: the payoff dominant equilibrium emerges as the unique long run equilibrium. Furthermore, the expected waiting time until the payoff dominant equilibrium is reached is relatively short, even in the limit as the population size grows large.
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Burkhard C. Schipper, 2005.
"Imitators and Optimizers in Cournot Oligopoly,"
Discussion Papers
53, SFB/TR 15 Governance and the Efficiency of Economic Systems, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
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