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Solution And Estimation Of Linear Rational Expectations Models
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Book Synopsis Solution and Estimation of Linear Rational Expectations Models by : Michael K. Salemi
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:
Book Synopsis Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models by : Ray C. Fair
Download or read book Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models written by Ray C. Fair and published by . This book was released on 1980 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: A solution method and an estimation method for nonlinear rational expectations models are presented in this paper. The solution method can be used in forecasting and policy applications and can handle models with serial correlation and multiple viewpoint dates. When applied to linear models, the solution method yields the same results as those obtained from currently available methods that are designed specifically for linear models. It is, however, more flexible and general than these methods. For large nonlinear models the results in this paper indicate that the method works quite well. The estimation method is based on the maximum likelihood principal. It is, as far as we know, the only method available for obtaining maximum likelihood estimates for nonlinear rational expectations models. The method has the advantage of being applicable to a wide range of models, including, as a special case, linear , models. The method can also handle different assumptions about the expectations of the exogenous variables, something which is not true of currently available approaches to linear models.
Book Synopsis Computationally Efficient Solution and Maximum Likelihood Estimation of Nonlinear Rational Expectation Models by : Jeffrey C. Fuhrer
Download or read book Computationally Efficient Solution and Maximum Likelihood Estimation of Nonlinear Rational Expectation Models written by Jeffrey C. Fuhrer and published by . This book was released on 1996 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Linear Rational Expectations Models by : Charles H. Whiteman
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:
Book Synopsis Reduced Forms of Rational Expectations Models by : L. Broze
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.
Book Synopsis Rational Expectations Econometrics by : Lars Peter Hansen
Download or read book Rational Expectations Econometrics written by Lars Peter Hansen and published by CRC Press. This book was released on 2019-09-05 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the core of the rational expectations revolution is the insight that economic policy does not operate independently of economic agents' knowledge of that policy and their expectations of the effects of that policy. This means that there are very complicated feedback relationships existing between policy and the behaviour of economic agents, and these relationships pose very difficult problems in econometrics when one tries to exploit the rational expectations insight in formal economic modelling. This volume consists of work by two rational expectations pioneers dealing with the "nuts and bolts" problems of modelling the complications introduced by rational expectations. Each paper deals with aspects of the problem of making inferences about parameters of a dynamic economic model on the basis of time series observations. Each exploits restrictions on an econometric model imposed by the hypothesis that agents within the model have rational expectations.
Book Synopsis Estimation and Learning in Models of Rational Expectations by : Mark David Feldman
Download or read book Estimation and Learning in Models of Rational Expectations written by Mark David Feldman and published by . This book was released on 1982 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Rational Expectations in Macroeconomic Models by : P. Fisher
Download or read book Rational Expectations in Macroeconomic Models written by P. Fisher and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is commonly believed that macroeconomic models are not useful for policy analysis because they do not take proper account of agents' expectations. Over the last decade, mainstream macroeconomic models in the UK and elsewhere have taken on board the `Rational Expectations Revolution' by explicitly incorporating expectations of the future. In principle, one can perform the same technical exercises on a forward expectations model as on a conventional model -- and more! Rational Expectations in Macroeconomic Models deals with the numerical methods necessary to carry out policy analysis and forecasting with these models. These methods are often passed on by word of mouth or confined to obscure journals. Rational Expectations in Macroeconomic Models brings them together with applications which are interesting in their own right. There is no comparable textbook in the literature. The specific subjects include: (i) solving for model consistent expectations; (ii) the choice of terminal condition and time horizon; (iii) experimental design: i.e., the effect of temporary vs permanent, anticipated vs. unanticipated shocks; deterministic vs. stochastic, dynamic vs. static simulation; (iv) the role of exchange rate; (v) optimal control and inflation-output tradeoffs. The models used are those of the Liverpool Research Group in Macroeconomics, the London Business School and the National Institute of Economic and Social Research.
Book Synopsis Solving and Estimating Indeterminate DSGE Models by : Mr.Roger Farmer
Download or read book Solving and Estimating Indeterminate DSGE Models written by Mr.Roger Farmer and published by International Monetary Fund. This book was released on 2013-10-01 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a method for solving and estimating linear rational expectations models that exhibit indeterminacy and we provide step-by-step guidelines for implementing this method in the Matlab-based packages Dynare and Gensys. Our method redefines a subset of expectational errors as new fundamentals. This redefinition allows us to treat indeterminate models as determinate and to apply standard solution algorithms. We provide a selection method, based on Bayesian model comparison, to decide which errors to pick as fundamental and we present simulation results to show how our procedure works in practice.
Book Synopsis Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rationalexpectations Models by : Ray C. Fair
Download or read book Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rationalexpectations Models written by Ray C. Fair and published by . This book was released on 2010 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: A solution method and an estimation method for nonlinear rational expectations models are presented in this paper. The solution method can be used in forecasting and policy applications and can handle models with serial correlation and multiple viewpoint dates. When applied to linear models, the solution method yields the same results as those obtained from currently available methods that are designed specifically for linear models. It is, however, more flexible and general than these methods. For large nonlinear models the results in this paper indicate that the method works quite well. The estimation method is based on the maximum likelihood principal. It is, as far as we know, the only method available for obtaining maximum likelihood estimates for nonlinear rational expectations models. The method has the advantage of being applicable to a wide range of models, including, as a special case, linear ,models. The method can also handle different assumptions about the expectations of the exogenous variables, something which is not true of currently available approaches to linear models.
Book Synopsis Computationally Efficient Solution and Maximum Likelihood Estimation of Nonlinear Rational Expectations Models by : Jeffrey C. Fuhrer
Download or read book Computationally Efficient Solution and Maximum Likelihood Estimation of Nonlinear Rational Expectations Models written by Jeffrey C. Fuhrer and published by . This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents new, computationally efficient algorithms for solution and estimation of nonlinear dynamic rational expectations models. The innovations in the algorithms are as follows: (1) The entire solution path is obtained simultaneously by taking a small number of Newton steps, using analytic derivatives, over the entire path; (2) The terminal conditions for the solution path are derived from the uniqueness and stability conditions from the linearization of the model around the terminus of the solution path; (3) Unit roots are allowed in the model; (4) Very general models with expectational identities and singularities of the type handled by the King-Watson (1995a,b) linear algorithms are also allowed; and (5) Rank- deficient covariance matrices that arise owing to the presence of expectational identities are admissible. Reasonably complex models are solved in less than a second on a Sun Sparc20. This speed improvement makes derivative- based estimation methods feasible. Algorithms for maximum likelihood estimation and sample estimation problems are presented.
Book Synopsis Economically Sensible Solutions for Linear Rational Expectations Models with Forward and Backward Looking Dynamic Processes by : Michael Mussa
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.
Book Synopsis Solving Large Scale Rational Expectation Models by : Jess Gaspar
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:
Book Synopsis Exact Linear Rational Expectations Models by : Lars Peter Hansen
Download or read book Exact Linear Rational Expectations Models written by Lars Peter Hansen and published by . This book was released on 1981 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computationally Efficient Solution and Maximum Likelihood Estimation of Nonlinear Rational Expectations Models by : Jeffrey C. Fuhrer
Download or read book Computationally Efficient Solution and Maximum Likelihood Estimation of Nonlinear Rational Expectations Models written by Jeffrey C. Fuhrer and published by . This book was released on 1996 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Essays on Estimation and Inference in Linear Rational Expectations Models by : Angelo Melino
Download or read book Essays on Estimation and Inference in Linear Rational Expectations Models written by Angelo Melino and published by . This book was released on 1983 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Instrumental Variables Procedures for Estimating Linear Rational Expectations Models by : Lars Peter Hansen
Download or read book Instrumental Variables Procedures for Estimating Linear Rational Expectations Models written by Lars Peter Hansen and published by . This book was released on 1981 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: