Stochastic Dynamics and Equilibrium Selection in Core-Periphery Model

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  • 都市集積・分散ダイナミクスと確率的均衡

Abstract

 In this paper, we study a perfect foresight dynamics in the Core-Periphery(CP) model with taste heterogeneity of agents, that has multiple equilibria. We introduce stochastic fluctuations into the model and describe the state of the model by a Markov process. By solving the master equation and the value function, we show that equilibrium agglomeration patterns can be obtained as probability distributions around the stationary states of the mean dynamics and that this provides a basis for equilibrium selection in CP models.

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