Numerical Strategies for Solving the Nonlinear Rational Expectations Commodity Market Model

Mario Miranda ()

Computational Economics, 1998, vol. 11, issue 1-2, 87 pages

Abstract: In this paper, I compare the accuracy, efficiency and stability of different numerical strategies for computing approximate solutions to the nonlinear rational expectations commodity market model. I find that polynomial and spline function collocation methods are superior to the space discretization, linearization and least squares curve-fitting methods that have been preferred by economists in the past. Citation Copyright 1998 by Kluwer Academic Publishers.

Date: 1998
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