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Imitators and Optimizers in a Changing Environment

Burkhard Hehenkamp and Oddvar Kaarboe ()

No 03/03, Working Papers in Economics from University of Bergen, Department of Economics

Abstract: We analyze the dynamic interaction between imitation and myopic optimization in an environment of changing marginal payoffs. Focusing on finite irreducible environments, we unfold a trade-off between the degree of interaction and the size of environmental shocks. The optimizer outperforms the imitator if interaction is weak or if shocks are large. We use the example of Cournot duopoly to give economic meaning to this condition. To establish our main result, we rely on continuous state space Markov theory. In particular, it turns out that introducing a stochastic environment with finitely many states suffices to make an otherwise deterministic process ergodic.

Keywords: imitation; optimization; evolution; heterogeneous learning rules; changing environments (search for similar items in EconPapers)
JEL-codes: D43 D83 L13 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2003-06-21
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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