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Author: Richard I. D. Harris
Publisher: Prentice Hall
ISBN: 9780133558920
Category : Business & Economics
Languages : en
Pages : 176
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Book Description
Cointegration has become an essential tool for applied economists wanting to estimate time series models. Without some form of testing for cointegration, non-stationary variables can lead to spurious regressions; this book introduces the student and practitioner to (co)integration testing and techniques at a very moderate technical level. The book's aim is a practical one: testing for (co)integration is explained thoroughly and with plenty of examples and there is an emphasis throughout on explaining how these tests are actually performed. Key Features: 'toolkit' approach with an emphasis on practice and the actual tests used, covers the Engle-Granger procedure, covers the Johansen technique, overview of structural VAR modelling, advanced and difficult concepts presented in technical boxes, thus preserving the flow of exposition, and boxed examples throughout. Though the material is presented non-technically, the reader will find that the book covers in detail those techniques that are now becoming standard in the literature. Readers are also taken through examples using relevant software such as PcFiml and Cats (in Rats).
Author: Richard I. D. Harris
Publisher: Prentice Hall
ISBN: 9780133558920
Category : Business & Economics
Languages : en
Pages : 176
Get Book Here
Book Description
Cointegration has become an essential tool for applied economists wanting to estimate time series models. Without some form of testing for cointegration, non-stationary variables can lead to spurious regressions; this book introduces the student and practitioner to (co)integration testing and techniques at a very moderate technical level. The book's aim is a practical one: testing for (co)integration is explained thoroughly and with plenty of examples and there is an emphasis throughout on explaining how these tests are actually performed. Key Features: 'toolkit' approach with an emphasis on practice and the actual tests used, covers the Engle-Granger procedure, covers the Johansen technique, overview of structural VAR modelling, advanced and difficult concepts presented in technical boxes, thus preserving the flow of exposition, and boxed examples throughout. Though the material is presented non-technically, the reader will find that the book covers in detail those techniques that are now becoming standard in the literature. Readers are also taken through examples using relevant software such as PcFiml and Cats (in Rats).
Author: Katarina Juselius
Publisher: OUP Oxford
ISBN: 0191622966
Category : Business & Economics
Languages : en
Pages : 478
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Book Description
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: Steinar Strøm
Publisher: Cambridge University Press
ISBN: 9780521633239
Category : Business & Economics
Languages : en
Pages : 514
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Book Description
Table of Contents
Author: Bernhard Pfaff
Publisher: Springer Science & Business Media
ISBN: 0387759670
Category : Business & Economics
Languages : en
Pages : 193
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Book Description
This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.
Author: Anindya Banerjee
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages :
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Book Description
Author: Vance Martin
Publisher: Cambridge University Press
ISBN: 0521139813
Category : Business & Economics
Languages : en
Pages : 925
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Book Description
"Maximum likelihood estimation is a general method for estimating the parameters of econometric models from observed data. The principle of maximum likelihood plays a central role in the exposition of this book, since a number of estimators used in econometrics can be derived within this framework. Examples include ordinary least squares, generalized least squares and full-information maximum likelihood. In deriving the maximum likelihood estimator, a key concept is the joint probability density function (pdf) of the observed random variables, yt. Maximum likelihood estimation requires that the following conditions are satisfied. (1) The form of the joint pdf of yt is known. (2) The specification of the moments of the joint pdf are known. (3) The joint pdf can be evaluated for all values of the parameters, 9. Parts ONE and TWO of this book deal with models in which all these conditions are satisfied. Part THREE investigates models in which these conditions are not satisfied and considers four important cases. First, if the distribution of yt is misspecified, resulting in both conditions 1 and 2 being violated, estimation is by quasi-maximum likelihood (Chapter 9). Second, if condition 1 is not satisfied, a generalized method of moments estimator (Chapter 10) is required. Third, if condition 2 is not satisfied, estimation relies on nonparametric methods (Chapter 11). Fourth, if condition 3 is violated, simulation-based estimation methods are used (Chapter 12). 1.2 Motivating Examples To highlight the role of probability distributions in maximum likelihood estimation, this section emphasizes the link between observed sample data and 4 The Maximum Likelihood Principle the probability distribution from which they are drawn"-- publisher.
Author: Wojciech Charemza
Publisher: Edward Elgar Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 364
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Book Description
This work on econometrics offers an analysis of econometric practice, encompassing recent modelling methodology and PC-GIVE. It is intended for advanced undergraduates and graduate students.
Author: Søren Johansen
Publisher: Oxford University Press, USA
ISBN: 0198774508
Category : Business & Economics
Languages : en
Pages : 280
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Book Description
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: Olaf Hübler
Publisher: Springer Science & Business Media
ISBN: 3540326936
Category : Business & Economics
Languages : en
Pages : 236
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Book Description
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: Peter Reinhard Hansen
Publisher: Oxford University Press, USA
ISBN: 9780198776086
Category : Business & Economics
Languages : en
Pages : 178
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Book Description
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.
