Likelihood Based Inference In Cointegrated Vector Autoregressive Models
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Likelihood Based Inference In Cointegrated Vector Autoregressive Models
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Author : Søren Johansen
language : en
Publisher: Oxford University Press, USA
Release Date : 1995
Likelihood Based Inference In Cointegrated Vector Autoregressive Models written by Søren Johansen and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.
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.
Likelihood Based Inference In Cointegrated Vector Autoregressive Models
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Author : Soren Johansen
language : en
Publisher:
Release Date :
Likelihood Based Inference In Cointegrated Vector Autoregressive Models written by Soren Johansen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Likelihood Based Inference In Cointegrated Vector Autoregressive Models
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Author : Søren Johansen
language : en
Publisher: OUP Oxford
Release Date : 1995-12-28
Likelihood Based Inference In Cointegrated Vector Autoregressive Models written by Søren Johansen and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-12-28 with Business & Economics categories.
This book gives a detailed mathematical and statistical analysis of the cointegrated vector autoregresive model. This model had gained popularity because it can at the same time capture the short-run dynamic properties as well as the long-run equilibrium behaviour of many non-stationary time series. It also allows relevant economic questions to be formulated in a consistent statistical framework. Part I of the book is planned so that it can be used by those who want to apply the methods without going into too much detail about the probability theory. The main emphasis is on the derivation of estimators and test statistics through a consistent use of the Guassian likelihood function. It is shown that many different models can be formulated within the framework of the autoregressive model and the interpretation of these models is discussed in detail. In particular, models involving restrictions on the cointegration vectors and the adjustment coefficients are discussed, as well as the role of the constant and linear drift. In Part II, the asymptotic theory is given the slightly more general framework of stationary linear processes with i.i.d. innovations. Some useful mathematical tools are collected in Appendix A, and a brief summary of weak convergence in given in Appendix B. The book is intended to give a relatively self-contained presentation for graduate students and researchers with a good knowledge of multivariate regression analysis and likelihood methods. The asymptotic theory requires some familiarity with the theory of weak convergence of stochastic processes. The theory is treated in detail with the purpose of giving the reader a working knowledge of the techniques involved. Many exercises are provided. The theoretical analysis is illustrated with the empirical analysis of two sets of economic data. The theory has been developed in close contract with the application and the methods have been implemented in the computer package CATS in RATS as a result of a rcollaboation with Katarina Juselius and Henrik Hansen.
Likelihood Based Inference In Cointegrated Vector Autoregressive Models
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Author : Soren Johansen
language : en
Publisher:
Release Date :
Likelihood Based Inference In Cointegrated Vector Autoregressive Models written by Soren Johansen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Workbook On Cointegration
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Author : Peter Reinhard Hansen
language : en
Publisher: Oxford University Press, USA
Release Date : 1998
Workbook On Cointegration written by Peter Reinhard Hansen and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Business & Economics categories.
This workbook is a companion to the textbook Likelihood-Based Inference in Cointegrated Vector Autoregressive Models, also published by Oxford University Press. The workbook contains exercises and solutions concerned with the theory of cointegration in the vector autoregressive model. The main text has been used for courses on Cointegration, and many of the exercises have been posed as either training exercises or exam questions. Many of them are challenging and summarize results published in the literature. Each chapter starts with a brief summary of the content of the corresponding chapter in the main text, which introduces the notation and the most important results.
The Cointegrated Var Model
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Author : Katarina Juselius
language : en
Publisher: OUP Oxford
Release Date : 2006-12-07
The Cointegrated Var Model written by Katarina Juselius and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-07 with Business & Economics categories.
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.
Analysis Of Integrated And Cointegrated Time Series With R
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Author : Bernhard Pfaff
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-03
Analysis Of Integrated And Cointegrated Time Series With R written by Bernhard Pfaff and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-03 with Business & Economics categories.
This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.
Modern Econometric Analysis
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Author : Olaf Hübler
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-29
Modern Econometric Analysis written by Olaf Hübler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-29 with Business & Economics categories.
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.
Handbook Of Research Methods And Applications In Empirical Macroeconomics
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Author : Nigar Hashimzade
language : en
Publisher: Edward Elgar Publishing
Release Date : 2013-01-01
Handbook Of Research Methods And Applications In Empirical Macroeconomics written by Nigar Hashimzade and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-01 with Business & Economics categories.
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.
Modeling Financial Time Series With S Plus
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Author : Eric Zivot
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Modeling Financial Time Series With S Plus written by Eric Zivot and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Business & Economics categories.
The field of financial econometrics has exploded over the last decade This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This Second Edition is updated to cover S+FinMetrics 2.0 and includes new chapters on copulas, nonlinear regime switching models, continuous-time financial models, generalized method of moments, semi-nonparametric conditional density models, and the efficient method of moments. Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department, and adjunct associate professor of finance in the Business School at the University of Washington. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear Dynamics and Econometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics. Jiahui Wang is an employee of Ronin Capital LLC. He received a Ph.D. in Economics from the University of Washington in 1997. He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centre.