Solving the Stochastic Growth Model by Deterministic Extended Path
This article describes the use of the deterministic version of the extended-path algorithm to solve the simple stochastic growth model. The article also discusses the two sources of approximation error inherent in this method. It is demonstrated that the error due to numerical iterations is small. No general conclusion can be reached on the error that arises from the algorithm's treatment of expectations. In at least two specific cases, however, this error appears to be small.
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Volume (Year): 8 (1990)
Issue (Month): 1 (January)
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