Drawing upon recent contributions in the statistical literature, we present a new result on the convergence of recursive, stochastic algorithms which can be applied to economic models with learning. The formal result provides probability bounds for convergence which can be used to describe the...

We consider an endogenous growth model with international trade in complementary capital goods. The model possesses several distinct, balanced growth solutions, which we classify using stability under adaptive learning. Some of the equilibria can involve growth rates much higher than others. We...

Expectations about the future are central for determination of current macroeconomic outcomes and the formulation of monetary policy. Recent literature has explored ways for supplementing the benchmark of rational expectations with explicit models of expectations formation that rely on...

We consider the robust stability of a rational expectations equilibrium, which we define as stability under discounted (constant gain) least-squares learning, for a range of gain parameters. We find that for operational forms of policy rules, ie rules that do not depend on contemporaneous values...

Recent models of monetary policy have analysed the desirability of different optimal and ad hoc interest-rate rules under the restrictive assumption that forecasts of the private sector and central bank are homogeneous. In this paper, we study from a learning perspective the implications of...