Money demand is probably one of the most extensively studied economic relationship in applied economics. While useful surveys of existing literature are available, much of the attention has focused on the US. However, a considerable number of papers have recently been produced dealing with the...

This paper compares alternative methods for approximating and solving the stochastic growth model with parameterized expectations. We compare polynomial and neural netowork specifications for expectations, and we employ both genetic algorithm and gradient-descent methods for solving the...

This paper compares three approximation methods for solving and simulating real business cycle models: linear quadratic (including log- linear quadratic) methods, the method of parameterized expectations, and the genetic algorithm. Linear quadratic (LQ), log-linear quadratic (log- LQ) and...