We introduce adaptive learning behavior into a general equilibrium lifecycle economy with capital accumulation. Agents form forecasts of the rate of return to capital assets using least squares autoregressions on past data. We show that, in contrast to the perfect foresight dynamics, a dynamical...

We use nonparametric, local regression and regression tree analysis to assess whether there exist multiple regimes in U.S. monetary policy over the period 1955:3-2000:2. We model U.S. monetary policy using a Taylor rule specification for the nominal interest rate target. By contrast with...

We propose the use of a new technique -- symbolic regression -- as a method for inferring the strategies that are being played by subjects in economic decision-making experiments. We begin by describing symbolic regression and our implementation of this technique using genetic programming. We...

We study how determinacy and learnability of global rational expectations equilibrium may be affected by monetary policy in a simple, two country New Keynesian framework. We seek to understand how monetary policy choices may interact across borders to help or hinder the creation of a unique REE...

We wish to understand the implications of recent shifts in US productivity for the structure of optimal monetary policy rules. Accordingly, we augment a standard inflation targeting model in which a forward-looking version of the Taylor rule constitutes the optimal monetary policy with regime...