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Author : Adam Cagliarini
Publisher :
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.:/5 (31 download)
Download or read book Solving Linear Rational Expectations Models with Predictable Structural Changes written by Adam Cagliarini and published by . This book was released on 2008 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Charles H. Whiteman
Publisher : U of Minnesota Press
ISBN 13 : 1452907935
Total Pages : 151 pages
Book Rating : 4.4/5 (529 download)
Download or read book Linear Rational Expectations Models written by Charles H. Whiteman and published by U of Minnesota Press. This book was released on 1984 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : L. Broze
Publisher : Routledge
ISBN 13 : 1136457739
Total Pages : 134 pages
Book Rating : 4.1/5 (364 download)
Download or read book Reduced Forms of Rational Expectations Models written by L. Broze and published by Routledge. This book was released on 2013-06-17 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive exposition of rational expectations models is provided here, working up from simple univariate models to more sophisticated multivariate and non-linear models.
Author : Marco P. Tucci
Publisher : Springer Science & Business Media
ISBN 13 : 1402028741
Total Pages : 268 pages
Book Rating : 4.4/5 (2 download)
Download or read book The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control written by Marco P. Tucci and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the major controversies in macroeconomics over the last 30 years has been that on the effectiveness of stabilization policies. However, this debate, between those who believe that this kind of policies is useless if not harmful and those who argue in favor of it, has been mainly theoretical so far. The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control wants to represent a step toward the construction of a common ground on which to empirically compare the two "beliefs" and to do this three strands of literature are brought together. The first strand is the research on time-varying parameters (TVP), the second strand is the work on adaptive control and the third one is the literature on linear stationary models with rational expectations (RE). The material presented in The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control is divided into two parts. Part 1 combines the strand of literature on adaptive control with that on TVP. It generalizes the approach pioneered by Tse and Bar-Shalom (1973) and Kendrick (1981) and one recently used in Amman and Kendrick (2002), where the law of motion of the TVP and the hyperstructural parameters are assumed known, to the case where the hyperstructural parameters are assumed unknown. Part 2 is devoted to the linear single-equation stationary RE model estimated with the error-in-variables (EV) method. It presents a new formulation of this problem based on the use of TVP in an EV model. This new formulation opens the door to a very promising development. All the theory developed in the first part to control a model with TVP can sic et simpliciter be applied to control a model with RE.
Author : Gary A. Anderson
Publisher :
ISBN 13 :
Total Pages : 62 pages
Book Rating : 4.E/5 ( download)
Download or read book Solving Linear Rational Expectations Models written by Gary A. Anderson and published by . This book was released on 2006 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Solving Linear Rational Expectations Models with Lagged Expectations Quickly and Easily written by and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A solution method is derived in this paper for solving a system of linear rational-expectations equation with lagged expectations (e.g., models incorporating sticky information) using the method of undetermined coefficients for the infinite MA representation. The method applies a combination of a Generalized Schur Decomposition familiar elsewhere in the literature and a simple system of linear equations when lagged expectations are present to the infinite MA representation. Execution is faster, applicability more general, and use more straight-forward than with existing algorithms. Current methods of truncating lagged expectations are shown to not generally be innocuous and the use of such methods are rendered obsolete by the tremendous gains in computational efficiency of the method here which allows for a solution to floating-point accuracy in a fraction of the time required by standard methods. The associated computational application of the method provides impulse responses to anticipated and unanticipated innovations, simulations, and frequency-domain and simulated moments. -- Lagged expectations ; linear rational expectations models; block tridiagonal ; Generalized Schur Form ; QZ decomposition ; LAPACK
Author : Michael Mussa
Publisher :
ISBN 13 :
Total Pages : 38 pages
Book Rating : 4.3/5 (9 download)
Download or read book Economically Sensible Solutions for Linear Rational Expectations Models with Forward and Backward Looking Dynamic Processes written by Michael Mussa and published by . This book was released on 1984 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using variants of a modified version of Dornbusch's model of price level and exchange rate dynamics, it is demonstrated that satisfaction of the formal condition for existence of a unigue non-explosive solution of a linear rational expectations model with forward and backward looking dynamic processes (equality of the number of stable roots with the number of independent backward looking processes) does not guarantee the economic sensibility of this solution, even if one accepts the usual arguments for excluding "speculative babbles" from the solutions of such models. Moreover, satisfaction of the formal condition for existence of an infinity of non-explosive solutions for such rational expectations models (more stable roots than independent backward looking processes) does not assure that any of these solutions is economically sensible.
Author : Jae Won Lee
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (138 download)
Download or read book Solving Reduced-form Linear Rational Expectations Models written by Jae Won Lee and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Olivier J. Blanchard
Publisher :
ISBN 13 :
Total Pages : 38 pages
Book Rating : 4.0/5 ( download)
Download or read book Methods of Solution and Simulation for Dynamic Rational Expectations Models written by Olivier J. Blanchard and published by . This book was released on 1983 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many methods have been proposed for the solution and simulation of medium or large size models under the assumption of rational expectations. The purpose of this paper is to present these methods, and to show how and where each can be applied. The methods fall into two groups. Methods in the first can be used to solve for perfect foresight paths in non-linear models. Methods in the second can be used in linear models, to solve either for paths or processes followed by endogenous variables. All the methods described here have been used in empirical applications and computer algorithms are available for most.
Author : Peter A. Zadrozny
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (135 download)
Download or read book Linear Identification of Linear Rational-expectations Models by Exogenous Variables Reconciles Lucas and Sims written by Peter A. Zadrozny and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear rational-expectations models (LREMs) are conventionally "forwardly" estimated as follows. Structural coefficients are restricted by economic restrictions in terms of deep parameters. For given deep parameters, structural equations are solved for "rational-expectations solution" (RES) equations that determine endogenous variables. For given vector autoregressive (VAR) equations that determine exogenous variables, RES equations reduce to reduced-form VAR equations for endogenous variables with exogenous variables (VARX). The combined endogenous-VARX and exogenous-VAR equations comprise the reduced-form overall VAR (OVAR) equations of all variables in a LREM. The sequence of specified, solved, and combined equations defines a mapping from deep parameters to OVAR coefficients that is used to forwardly estimate a LREM in terms of deep parameters. Forwardly-estimated deep parameters determine forwardly-estimated RES equations that Lucas (1976) advocated for making policy predictions in his critique of policy predictions made with reduced-form equations. [...].
Author : Charles H. Whiteman
Publisher :
ISBN 13 : 9780608007977
Total Pages : 149 pages
Book Rating : 4.0/5 (79 download)
Download or read book Linear Rational Expectations Models written by Charles H. Whiteman and published by . This book was released on 1983-01-01 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Willem H. Buiter
Publisher :
ISBN 13 :
Total Pages : 66 pages
Book Rating : 4.0/5 ( download)
Download or read book Policy Evaluation and Design for Continuous Time Linear Rational Expectations Models written by Willem H. Buiter and published by . This book was released on 1984 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: The paper surveys some recent developments in policy evaluation and design in continuous time linear rational expectations models. Much recent work in macroeconomics and open economy macroeconomics fits into this category. First the continuous time analogue is reviewed of the discrete time solution method of Blanchard and Kahn. Some problems associated with this solution method are then discussed, including non-uniqueness and zero roots. Optimal (but in general time-inconsistent) and time-consistent (but in general suboptimal) solutions are derived to the general linear-quadratic optimal control problem, based on work by Calvo, Driffill, Miller and Salmon and the author. A numerical example is solved, involving optimal and time-consistent anti-inflationary policy design in a contract model.
Author : Marco P. Tucci
Publisher : Springer
ISBN 13 : 9781475710601
Total Pages : 262 pages
Book Rating : 4.7/5 (16 download)
Download or read book The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control written by Marco P. Tucci and published by Springer. This book was released on 2012-08-07 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the major controversies in macroeconomics over the last 30 years has been that on the effectiveness of stabilization policies. However, this debate, between those who believe that this kind of policies is useless if not harmful and those who argue in favor of it, has been mainly theoretical so far. The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control wants to represent a step toward the construction of a common ground on which to empirically compare the two "beliefs" and to do this three strands of literature are brought together. The first strand is the research on time-varying parameters (TVP), the second strand is the work on adaptive control and the third one is the literature on linear stationary models with rational expectations (RE). The material presented in The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control is divided into two parts. Part 1 combines the strand of literature on adaptive control with that on TVP. It generalizes the approach pioneered by Tse and Bar-Shalom (1973) and Kendrick (1981) and one recently used in Amman and Kendrick (2002), where the law of motion of the TVP and the hyperstructural parameters are assumed known, to the case where the hyperstructural parameters are assumed unknown. Part 2 is devoted to the linear single-equation stationary RE model estimated with the error-in-variables (EV) method. It presents a new formulation of this problem based on the use of TVP in an EV model. This new formulation opens the door to a very promising development. All the theory developed in the first part to control a model with TVP can sic et simpliciter be applied to control a model with RE.
Author : Michael K. Salemi
Publisher :
ISBN 13 :
Total Pages : 23 pages
Book Rating : 4.:/5 (254 download)
Download or read book Solution and Estimation of Linear Rational Expectations Models written by Michael K. Salemi and published by . This book was released on 1983 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jess Gaspar
Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.:/5 (321 download)
Download or read book Solving Large Scale Rational Expectation Models written by Jess Gaspar and published by . This book was released on 1997 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Lung-fei Lee
Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (318 download)
Download or read book Estimation of Dynamic Limited-dependent Rational Expectation Models written by Lung-fei Lee and published by . This book was released on 1996 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Solving Linear Rational Expectations Models written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This paper compares the functionality, accuracy, computational efficiency, and practicalities of alternative approaches to solving linear rational expectations models, including the procedures of (Sims, 1996), (Anderson and Moore, 1983), (Binder and Pesaran, 1994), (King and Watson, 1998), (Klein, 1999), and (Uhlig, 1999). While all six prcedures yield similar results for models with a unique stationary solution, the AIM algorithm of (Anderson and Moore, 1983) provides the highest accuracy; furthermore, this procedure exhibits significant gains in computational efficiency for larger-scale models"--Federal Reserve Board web site.
