A framework for describing nonlinear rational expectation models is developed that synthesizes previously described approaches. Computational issues for solving such models include how the expectation operator is approximated, what family of approximation is used for the solution function, what criteria are used for choosing approximation parameters and what algorithm is used to identify the parameters. A user-friendly MATLAB procedure that incorporates a wide variety of possible choices is described. Copyright Springer Science + Business Media, Inc. 2005projection methods, rational expectations,
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(CU-DAE-WP--9619) / BLDSC - B...
Code for article published in Econometric Theory, 13 (1997), pp. 877-888. Currently, you may downloa...
A computationally robust solution method for linear rational expectations models is displayed, based...
The Anderson-Moore algorithm provides a well-established solution method for systems of linear ratio...
This paper presents new, computationally efficient algorithms for solution and estimation of nonline...
This paper shows how to compute a second-order accurate solution of a non-linear rational expectatio...
This paper develops a general modeling framework and some alternative methods for solving nonlinear ...
A method to solve and estimate multivariate linear rational expectations models is described. The me...
SIGLEAvailable from British Library Lending Division - LD:3597.3859(145) / BLDSC - British Library D...
By simplifying the computational tasks and by providing step-by-step explanations of the procedures ...
A solution method and an estimation method for nonlinear rational expectations models are presented ...
By simplifying the computational tasks and by providing step-by-step explanations of the procedures ...
This paper develops the Parameterized Expectations Approach (PEA) for solving nonlinear dynamic stoc...
In this paper a solution technique is developed for non-linear rational expectation models. In model...
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(CU-DAE-WP--9619) / BLDSC - B...
Code for article published in Econometric Theory, 13 (1997), pp. 877-888. Currently, you may downloa...
A computationally robust solution method for linear rational expectations models is displayed, based...
The Anderson-Moore algorithm provides a well-established solution method for systems of linear ratio...
This paper presents new, computationally efficient algorithms for solution and estimation of nonline...
This paper shows how to compute a second-order accurate solution of a non-linear rational expectatio...
This paper develops a general modeling framework and some alternative methods for solving nonlinear ...
A method to solve and estimate multivariate linear rational expectations models is described. The me...
SIGLEAvailable from British Library Lending Division - LD:3597.3859(145) / BLDSC - British Library D...
By simplifying the computational tasks and by providing step-by-step explanations of the procedures ...
A solution method and an estimation method for nonlinear rational expectations models are presented ...
By simplifying the computational tasks and by providing step-by-step explanations of the procedures ...
This paper develops the Parameterized Expectations Approach (PEA) for solving nonlinear dynamic stoc...
In this paper a solution technique is developed for non-linear rational expectation models. In model...
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(CU-DAE-WP--9619) / BLDSC - B...
Code for article published in Econometric Theory, 13 (1997), pp. 877-888. Currently, you may downloa...