Temporary Equilibrium Dynamics with Bayesian Learning
This paper examines the stability of deterministic steady-states in a class of economies where the state -variable is one dimensional and where agents use Bayesian techniques to form expectations. Thr dynamics with learning are locally convergent if the prior mean is close to a stable perfect foresight root having modulus less than 1 and if the prior beliefs are held with enough confidence. Thr dynamics are however divergent if the prior mean or the variance of the prior distribution is sufficiently large.
(This abstract was borrowed from another version of this item.)