This book is a study on the asymptotic behaviour of boundedly rational learning procedures in self-referential models. It reports important results of current research on this topic. These results, e.g., global convergence results for autoregressive and for non-stationary models, considerably...

In this study we consider a linear model with forecast feedback in which boundedly rational agents are learning the parameter values of the rational expectations equilibrium by the OLS learning procedure. We show strong consistency of the OLS estimates under much weaker assumptions on the...