This paper studies the aspiration-based learning dynamics in symmetric normal-form games played at multiple locations. In particular, the aspiration level in one location is linked to the average performances of players in observable locations. With a decentralized information structure, the...

This paper studies the adaptive learning dynamics over multiple locations. Our focus is to show that, to observe the average performance of other locations is necessary or efficient. Through the analysis of information structure, the result about convergence and stochastic stability can be...

We establish the standard procedures in solving a class of dynamic stochastic general equilibrium models with a second-order approximation to the policy function. The innovation is that the means of exogenous shocks vary with the variances. The numerical results show that second-order...