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.
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Volume (Year): 8 (1990) Issue (Month): 1 (January) Pages: 31-34 Download reference. The following formats are available: HTML
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