Solving the Stochastic Growth Model by a Discrete-State-Space, Euler-Equation Approach
AbstractThis article describes a method for computing approximate equilibria for stochastic dynamic economies. The method is of general interest because it allows straightforward computation of equilibria in a wide class of economies in which equilibrium is not Pareto optimal. The chief idea is to focus on the Euler equations that characterize equilibrium behavior. Our approach computes approximations to equilibrium decision rules. This approach is "exact" in the sense that our approximate decision rules converge to the true decision rules as the grid over which we compute the decision rules becomes arbitrarily fine.
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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 8 (1990)
Issue (Month): 1 (January)
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