Numerical Strategies for Solving the Nonlinear Rational Expectations Commodity Market Model.

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.

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Year of publication:	1998
Authors:	Miranda, Mario J
Published in:	Computational Economics. - Society for Computational Economics - SCE, ISSN 0927-7099. - Vol. 11.1998, 1-2, p. 71-87
Publisher:	Society for Computational Economics - SCE

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005542282