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Non-Local Solutions to Dynamic Equilibrium Models: the Approximate Stable Manifolds Approach

Viktors Ajevskis ()

No 2013/03, Working Papers from Latvijas Banka

Abstract: This paper presents a method to construct a sequence of approximate policy functions of increasing accuracy on non-local domains. The method is based upon the notion of stable manifold originated from dynamical systems theory. The approximate policy functions are constructed employing the contraction mapping theorem and the fact that solutions to rational expectations models converge to a steady state. The approach allows us to derive the accuracy of the approximations and their domain of definition. The method is applied to the neoclassical growth model and compared with the perturbation method. Just the second approximation of the proposed approach yields very high accuracy of the approximate solution on a global domain. In contrast to the Taylor series expansions, the solutions of the method inherit globally the properties of the true solution such as monotonicity and concavity.

Keywords: dynamic equilibrium; rational expectations; non-linear perfect foresight models; stable manifold; perturbation method; extended path; neoclassical growth model (search for similar items in EconPapers)
JEL-codes: C62 C63 D58 D9 (search for similar items in EconPapers)
Date: 2013-12-28
New Economics Papers: this item is included in nep-dge
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Related works:
Journal Article: NONLOCAL SOLUTIONS TO DYNAMIC EQUILIBRIUM MODELS: THE APPROXIMATE STABLE MANIFOLDS APPROACH (2019) Downloads
Working Paper: Nonlocal Solutions to Dynamic Equilibrium Models: The Approximate Stable Manifolds Approach (2015) Downloads
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