A method to solve and estimate multivariate linear rational expectations models is described. The method is based on an iterative factorization of the polynomial matrix that describes the lags and expected leads in the model. Our experience is that the method works well in a variety of applications where other methods are either difficult or expensive to use. This note describes a method that can be used to solve and estimate multi-variate linear rational expectations models. A number of methods to solve and estimate linear rational expectations models have been described in the litera
This paper develops a general modeling framework and some alternative methods for solving nonlinear ...
At the heart of most rational expectations models is a system of first order differential equations ...
The aim of this paper is the study of the path solutions of a multivariate rational expectations mod...
A solution method and an estimation method for nonlinear rational expectations models are presented ...
A solution method is derived in this paper for solving a system of linear rationalexpectations equat...
A computationally robust solution method for linear rational expectations models is displayed, based...
This paper shows how to compute a second-order accurate solution of a non-linear rational expectatio...
A framework for describing nonlinear rational expectation models is developed that synthesizes previ...
In this paper, I show how to use the generalized Schur form to solve a system of linear expectationa...
SIGLEAvailable from British Library Document Supply Centre-DSC:3509.880(CU-DAE-WP--9619) / BLDSC - B...
This paper presents new, computationally efficient algorithms for solution and estimation of nonline...
This paper describes a set of algorithms for quickly and reliably solving linear rational expectatio...
SIGLEAvailable from British Library Document Supply Centre-DSC:3509.880(9708) / BLDSC - British Libr...
We present a method for using rational expectations in alinear-quadratic optimization framework. Fol...
Abstract. In this paper we present a method for using rational expectations in a linear-quadratic op...
This paper develops a general modeling framework and some alternative methods for solving nonlinear ...
At the heart of most rational expectations models is a system of first order differential equations ...
The aim of this paper is the study of the path solutions of a multivariate rational expectations mod...
A solution method and an estimation method for nonlinear rational expectations models are presented ...
A solution method is derived in this paper for solving a system of linear rationalexpectations equat...
A computationally robust solution method for linear rational expectations models is displayed, based...
This paper shows how to compute a second-order accurate solution of a non-linear rational expectatio...
A framework for describing nonlinear rational expectation models is developed that synthesizes previ...
In this paper, I show how to use the generalized Schur form to solve a system of linear expectationa...
SIGLEAvailable from British Library Document Supply Centre-DSC:3509.880(CU-DAE-WP--9619) / BLDSC - B...
This paper presents new, computationally efficient algorithms for solution and estimation of nonline...
This paper describes a set of algorithms for quickly and reliably solving linear rational expectatio...
SIGLEAvailable from British Library Document Supply Centre-DSC:3509.880(9708) / BLDSC - British Libr...
We present a method for using rational expectations in alinear-quadratic optimization framework. Fol...
Abstract. In this paper we present a method for using rational expectations in a linear-quadratic op...
This paper develops a general modeling framework and some alternative methods for solving nonlinear ...
At the heart of most rational expectations models is a system of first order differential equations ...
The aim of this paper is the study of the path solutions of a multivariate rational expectations mod...