We introduce the E-correspondence principle for stochastic dynamic expectations models as a tool for comparative dynamics analysis. The principle is applicable to equilibria that are stable under least squares and closely related learning rules. With this technique it is possible to study,...

We examine a certain nonlinear model. Markov SSEs exist near an indeterminate steady state. ... We show that there exist Markov SSEs, that are E-stable, and therefore locally stable under adaptive learning, ...

We consider the stability under adaptive learning of the complete set of solutions x1 = ßE1*x1+1 when /ß/1. In addition to the fundamentals solution, the literature describes both finite-state Markov sunspot solutions, satisfying a resonant frequency condition, and autoregressive solutions...