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Solving the Stochastic Growth Model by Backsolving with an Expanded Shock Space

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Author Info
Ingram, Beth Fisher

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Abstract

I explain how a technique called backsolving is used to find simulated solution paths for a simple economic-growth model. Backsolving can also be applied to generate simulated solution paths for general nonlinear stochastic models.

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Publisher Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 8 (1990)
Issue (Month): 1 (January)
Pages: 37-38
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Handle: RePEc:bes:jnlbes:v:8:y:1990:i:1:p:37-38

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  1. S. Sirakaya & Stephen Turnovsky & M. Alemdar, 2006. "Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks," Computational Economics, Springer, vol. 27(2), pages 185-206, May. [Downloadable!] (restricted)
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