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:
Download or read book Solving Large Scale Normalised Rational Expectations Models written by Olaf van 't Veer and published by . This book was released on 2006 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Solving Large Scale Rational Expectations Models written by Jess Gaspar and published by . This book was released on 2010 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: We explore alternative approaches to numerical solutions of large rational expectations models. We discuss and compare several current alternatives, focussing on the tradeoffs in accuracy, space, and speed. The models range from representative agent models with many goods and capital stocks, to models of heterogeneous agents with complete or incomplete asset markets. The methods discussed include perturbation and projection methods. We show that these methods are capable of analyzing moderately large models even when we use only elementary, general purpose numerical methods.
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.
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.
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.
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:
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.
Download or read book Computational Solution of Large Scale Macroeconometric Models written by Giorgio Pauletto and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the result of my doctoral dissertation research at the Department of Econometrics of the University of Geneva, Switzerland. This research was also partially financed by the Swiss National Science Foundation (grants 12- 31072.91 and 12-40300.94). First and foremost, I wish to express my deepest gratitude to Professor Manfred Gilli, my thesis supervisor, for his constant support and help. I would also like to thank the president of my jury, Professor Fabrizio Carlevaro, as well as the other members of the jury, Professor Andrew Hughes Hallett, Professor Jean-Philippe Vial and Professor Gerhard Wanner. I am grateful to my colleagues and friends of the Departement of Econometrics, especially David Miceli who provided constant help and kind understanding during all the stages of my research. I would also like to thank Pascale Mignon for proofreading my text and im proving my English. Finally, I am greatly indebted to my parents for their kindness and encourage ments without which I could never have achieved my goals. Giorgio Pauletto Department of Econometrics, University of Geneva, Geneva, Switzerland Chapter 1 Introduction The purpose of this book is to present the available methodologies for the solution of large-scale macroeconometric models. This work reviews classical solution methods and introduces more recent techniques, such as parallel com puting and nonstationary iterative algorithms.
Download or read book Solving Nonlinear Rational Expectations Models by Parameterized Expectations written by Albert Marcet and published by . This book was released on 1994 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Solving Large Scale Rational Expecations Models written by Jess Gaspar and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Solving for Optimal Simple Rules in Rational Expectations Models written by Richard Dennis and published by . This book was released on 2000 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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:
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:
Download or read book A Robust and Efficient Method for Solving Nonlinear Rational Expectations Models written by Mr.Douglas Laxton and published by International Monetary Fund. This book was released on 1996-09-01 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development and use of forward-looking macro models in policymaking institutions has proceeded at a pace much slower than predicted in the early 1980s. An important reason is that researchers have not had access to robust and efficient solution techniques for solving nonlinear forward-looking models. This paper discusses the properties of a new algorithm that is used for solving MULTIMOD, the IMF’s multicountry model of the world economy. This algorithm is considerably faster and much less prone to simulation failures than to traditional algorithms and can also be used to solve individual country models of the same size.
Download or read book Two Practical Algorithms for Solving Rational Expectations Models written by Flint Brayton and published by . This book was released on 2011 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stochastic Programming written by Gerd Infanger and published by Springer Science & Business Media. This book was released on 2010-11-10 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Preface... The preparation of this book started in 2004, when George B. Dantzig and I, following a long-standing invitation by Fred Hillier to contribute a volume to his International Series in Operations Research and Management Science, decided finally to go ahead with editing a volume on stochastic programming. The field of stochastic programming (also referred to as optimization under uncertainty or planning under uncertainty) had advanced significantly in the last two decades, both theoretically and in practice. George Dantzig and I felt that it would be valuable to showcase some of these advances and to present what one might call the state-of- the-art of the field to a broader audience. We invited researchers whom we considered to be leading experts in various specialties of the field, including a few representatives of promising developments in the making, to write a chapter for the volume. Unfortunately, to the great loss of all of us, George Dantzig passed away on May 13, 2005. Encouraged by many colleagues, I decided to continue with the book and edit it as a volume dedicated to George Dantzig. Management Science published in 2005 a special volume featuring the “Ten most Influential Papers of the first 50 Years of Management Science.” George Dantzig’s original 1955 stochastic programming paper, “Linear Programming under Uncertainty,” was featured among these ten. Hearing about this, George Dantzig suggested that his 1955 paper be the first chapter of this book. The vision expressed in that paper gives an important scientific and historical perspective to the book. Gerd Infanger
