Most DSGE models assume full information and model-consistent expectations. This paper relaxes both these assumptions in the context of the stochastic growth model with incomplete markets and heterogeneous agents. Households do not have direct knowledge of the structure of economy or the values...

We consider the impact of anticipated policy changes when agents form expectations using adaptive learning rather than rational expectations. To model this we assume that agents combine limited structural knowledge with a standard adaptive learning rule. We analyze these issues using two...

We study how the use of judgement or “add-factors?in forecasting may disturb the set of equilibrium outcomes when agents learn using recursive methods. We isolate conditions under which new phenomena, which we call exuberance equilibria, can exist in a standard self-referential...

This paper investigates the ability of the adaptive learning approach to replicate the expectations of professional forecasters. For a range of macroeconomic and financial variables, we compare constant and decreasing gain learning models to simple, yet powerful benchmark models. We find that...