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Likelihood-based Inference in Cointegrated Vector Autoregressive Models

Likelihood-based Inference in Cointegrated Vector Autoregressive Models
Author: Søren Johansen
Publisher: Oxford University Press, USA
Total Pages: 280
Release: 1995
Genre: Business & Economics
ISBN: 0198774508

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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.


Workbook on Cointegration

Workbook on Cointegration
Author: Peter Reinhard Hansen
Publisher: Oxford University Press, USA
Total Pages: 178
Release: 1998
Genre: Business & Economics
ISBN: 9780198776086

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Aimed at graduates and researchers in economics and econometrics, this is a comprehesive exposition of Soren Johansen's remarkable contribution to the theory of cointegration analysis.


Rosenthal, Stephen

Rosenthal, Stephen
Author:
Publisher:
Total Pages:
Release:
Genre:
ISBN:

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The folder may include clippings, announcements, small exhibition catalogs, and other ephemeral items.


The Cointegrated VAR Model

The Cointegrated VAR Model
Author: Katarina Juselius
Publisher: OUP Oxford
Total Pages: 478
Release: 2006-12-07
Genre: Business & Economics
ISBN: 0191622966

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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.


Inference in Cointegrated Var Models

Inference in Cointegrated Var Models
Author: Alessandra Canepa
Publisher: LAP Lambert Academic Publishing
Total Pages: 172
Release: 2009-10
Genre:
ISBN: 9783838314693

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Obtaining reliable inference procedures is one of the main challenges of econometric research. Test statistics are usually based on applications of the central limit theorem. However, in order to work well the first order asymptotic approximation requires that the asymptotic distribution is an accurate approximation to the finite sample distribution. When dealing with time series models, this is not generally the case. In this book we investigate the small sample performance of various bootstrap based inference procedures when applied to vector autoregressive models. Special attention is given to Johansen s maximum likelihood method for conducting inference on cointegrated VAR models. Throughout the book, empirical applications are provided to illustrate the bootstrap method and its applications. The analysis should provide some guidance to practitioners in doubt about which inference procedure to use when dealing with cointegrated VAR models.


Applied Time Series Econometrics

Applied Time Series Econometrics
Author: Helmut Lütkepohl
Publisher: Cambridge University Press
Total Pages: 351
Release: 2004-08-02
Genre: Business & Economics
ISBN: 1139454730

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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.


Analysis of Integrated and Cointegrated Time Series with R

Analysis of Integrated and Cointegrated Time Series with R
Author: Bernhard Pfaff
Publisher: Springer Science & Business Media
Total Pages: 193
Release: 2008-09-03
Genre: Business & Economics
ISBN: 0387759670

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This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.