We consider the effects of replacing least squares learning by stochastic gradient learning in the multivariate "Cobweb" model. Are the stability conditions altered? For this model, we show global convergence of stochastic gradient learning to the unique rational expectations equilibrium...

We consider an endogenous growth model which includes international trade in capital goods. The model yields several distinct balanced growth solutions which can be classified using stability under adaptive learning. Some of the equilibria can involve growth rates much higher (or lower) than others.

Models of expextations formation via learning by economic agents have recently been developed in the literature. Currently, the most common approach leads to complete learning in which asymptotically agents have rational expectations (though cases of instability also exist). Dynamics with...

A fundamentals based monetary policy rule, which would be optimal when private agents have perfectly rational expectations, is unstable if in fact these agents follow standard adaptive learning rules. This problem can be overcome if private expectations are observed and suitably incorporated...

Recent models of monetary policy and monetary rules 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...

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