Structural Vector Autoregressive Analysis For Cointegrated Variables
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Author | : Lutz Kilian |
Publisher | : Cambridge University Press |
Total Pages | : 757 |
Release | : 2017-11-23 |
Genre | : Business & Economics |
ISBN | : 1107196574 |
This book discusses the econometric foundations of structural vector autoregressive modeling, as used in empirical macroeconomics, finance, and related fields.
Author | : Olaf Hübler |
Publisher | : Springer Science & Business Media |
Total Pages | : 236 |
Release | : 2007-04-29 |
Genre | : Business & Economics |
ISBN | : 3540326936 |
In this book leading German econometricians in different fields present survey articles of the most important new methods in econometrics. The book gives an overview of the field and it shows progress made in recent years and remaining problems.
Author | : Helmut Lütkepohl |
Publisher | : Cambridge University Press |
Total Pages | : 351 |
Release | : 2004-08-02 |
Genre | : Business & Economics |
ISBN | : 1139454730 |
Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and conduct their own analyses.
Author | : Katarina Juselius |
Publisher | : OUP Oxford |
Total Pages | : 478 |
Release | : 2006-12-07 |
Genre | : Business & Economics |
ISBN | : 0191622966 |
This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied. In particular, the author focuses on the properties of the Cointegrated VAR model and its implications for macroeconomic inference when data are non-stationary. The text provides a number of insights into the links between statistical econometric modelling and economic theory and gives a thorough treatment of identification of the long-run and short-run structure as well as of the common stochastic trends and the impulse response functions, providing in each case illustrations of applicability. This book presents the main ingredients of the Copenhagen School of Time-Series Econometrics in a transparent and coherent framework. The distinguishing feature of this school is that econometric theory and applications have been developed in close cooperation. The guiding principle is that good econometric work should take econometrics, institutions, and economics seriously. The author uses a single data set throughout most of the book to guide the reader through the econometric theory while also revealing the full implications for the underlying economic model. To test ensure full understanding the book concludes with the introduction of two new data sets to combine readers understanding of econometric theory and economic models, with economic reality.
Author | : Bernhard Pfaff |
Publisher | : Springer Science & Business Media |
Total Pages | : 193 |
Release | : 2008-09-03 |
Genre | : Business & Economics |
ISBN | : 0387759670 |
This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.
Author | : Lutz Kilian |
Publisher | : Cambridge University Press |
Total Pages | : 757 |
Release | : 2017-11-23 |
Genre | : Business & Economics |
ISBN | : 1108186874 |
Structural vector autoregressive (VAR) models are important tools for empirical work in macroeconomics, finance, and related fields. This book not only reviews the many alternative structural VAR approaches discussed in the literature, but also highlights their pros and cons in practice. It provides guidance to empirical researchers as to the most appropriate modeling choices, methods of estimating, and evaluating structural VAR models. The book traces the evolution of the structural VAR methodology and contrasts it with other common methodologies, including dynamic stochastic general equilibrium (DSGE) models. It is intended as a bridge between the often quite technical econometric literature on structural VAR modeling and the needs of empirical researchers. The focus is not on providing the most rigorous theoretical arguments, but on enhancing the reader's understanding of the methods in question and their assumptions. Empirical examples are provided for illustration.
Author | : Søren Johansen |
Publisher | : Oxford University Press, USA |
Total Pages | : 280 |
Release | : 1995 |
Genre | : Business & Economics |
ISBN | : 0198774508 |
This monograph is concerned with the statistical analysis of multivariate systems of non-stationary time series of type I. It applies the concepts of cointegration and common trends in the framework of the Gaussian vector autoregressive model.
Author | : Helmut Lütkepohl |
Publisher | : Springer Science & Business Media |
Total Pages | : 556 |
Release | : 2013-04-17 |
Genre | : Business & Economics |
ISBN | : 3662026910 |
Author | : G. S. Maddala |
Publisher | : Cambridge University Press |
Total Pages | : 528 |
Release | : 1998 |
Genre | : Business & Economics |
ISBN | : 9780521587822 |
A comprehensive review of unit roots, cointegration and structural change from a best-selling author.
Author | : Nigar Hashimzade |
Publisher | : Edward Elgar Publishing |
Total Pages | : 627 |
Release | : 2013-01-01 |
Genre | : Business & Economics |
ISBN | : 0857931024 |
This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading. Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalised method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macro and econometrics.