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Solving the Stochastic Growth Model by Parameterizing Expectations
Wouter J. den Haan and Albert Marcet
Journal of Business & Economic Statistics
Vol. 8, No. 1 (Jan., 1990), pp. 31-34
Stable URL: http://www.jstor.org/stable/1391746
Page Count: 4
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This article describes a method for solving the one-good stochastic growth model by parameterizing the expectations part of the stochastic Euler equation. The conditional expectation is specified as a function of the state of the system, and the parameters of that function are estimated to solve the model. The article includes a discussion of how to find the parameters of the function and determine systematically the complexity of the functional form necessary to solve the model.
Journal of Business & Economic Statistics © 1990 American Statistical Association