Learning with bounded memory in stochastic frameworks is incomplete in the sense that the learning dynamics cannot converge to an rational expectations equilibrium (REE). The properties of the dynamics arising from such rules are studied for models with steady states. If in standard linear...

Recent models of monetary policy can have indeterminacy of equilibria. The indeterminacy property is often viewed as a difficulty of these models. We consider its significance using the learning approach to expectations formation by employing expectational stability as a robustness criterion for...

Nominal GDP targeting has been advocated by a number of authors since it produces relative stability of inflation and output. However, all of the papers assume rational expectations on the part of private agents. In this paper I provide an analysis of this assumption. I use stability under...

Conventional wisdom usually suggests that agents should use all the data they have to make the best possible prediction. In this paper, however, it is shown that agents may sometimes be able to make better predictions by throwing away old data. The optimality criterion agents adopt is the mean...

We evaluate Taylor-type monetary policy rules from the perspective of which classes of rules most reliably induce determinacy and learnability of a rational expectations equilibrium. The context is a simple, forward-looking model of the macroeconomy widely used in the rapidly expanding...

We study macroeconomic systems with forward-looking private sector agents and a monetary authority that is trying to control the economy through the use of a linear policy feedback rule. A typical finding in the burgeoning literature in this area is that policymakers should be relatively...