System Reduction and Finite-Order VAR Solution Methods for Linear Rational Expectations Models

35 Pages Posted: 27 May 2016

See all articles by Enrique Martínez-García

Enrique Martínez-García

Federal Reserve Bank of Dallas - Research Department

Multiple version iconThere are 2 versions of this paper

Date Written: May 15, 2016

Abstract

This paper considers the solution of a large class of linear rational expectations (LRE) models and its characterization via finite-order VARs. The solution of the canonical LRE model can be cast in state-space form and solved for by the method of undetermined coefficients. In this paper I propose a novel approach that simplifies the characterization of the solution into finite-order VAR form and checks its existence and uniqueness based on the solution of a Sylvester equation. Solving LRE models with a finite-order VAR representation by this method is straightforward to implement, efficient, and can be handled easily with standard matrix algebra. An application to the workhorse New Keynesian model with accompanying Matlab codes is provided to illustrate the practical implementation of the procedure.

Keywords: Linear Rational Expectations Models, Vector Autoregression Representation, Sylvester Matrix Equation

JEL Classification: C32, C62, C63, E37

Suggested Citation

Martinez-Garcia, Enrique, System Reduction and Finite-Order VAR Solution Methods for Linear Rational Expectations Models (May 15, 2016). Available at SSRN: https://ssrn.com/abstract=2784463 or http://dx.doi.org/10.2139/ssrn.2784463

Enrique Martinez-Garcia (Contact Author)

Federal Reserve Bank of Dallas - Research Department ( email )

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