Numerical Strategies for Solving the Nonlinear Rational Expectations Commodity Market Model
AbstractIn 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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Bibliographic InfoArticle provided by Society for Computational Economics in its journal Computational Economics.
Volume (Year): 11 (1998)
Issue (Month): 1-2 (April)
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