Workbook on Cointegration

Workbook on Cointegration PDF 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.

Workbook on Cointegration

Workbook on Cointegration PDF Author: Peter Reinhard Hansen
Publisher: Oxford University Press, USA
ISBN: 9780198776086
Category : Business & Economics
Languages : en
Pages : 178

Get Book Here

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.

Unit Roots, Cointegration, and Structural Change

Unit Roots, Cointegration, and Structural Change PDF Author: G. S. Maddala
Publisher: Cambridge University Press
ISBN: 9780521587822
Category : Business & Economics
Languages : en
Pages : 528

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Book Description
A comprehensive review of unit roots, cointegration and structural change from a best-selling author.

Multivariate Tests for Time Series Models

Multivariate Tests for Time Series Models PDF Author: Jeff B. Cromwell
Publisher: SAGE
ISBN: 9780803954403
Category : Social sciences
Languages : en
Pages : 116

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Book Description
Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests.

Cointegration, Causality, and Forecasting

Cointegration, Causality, and Forecasting PDF Author: Halbert White
Publisher: Oxford University Press, USA
ISBN: 9780198296836
Category : Business & Economics
Languages : en
Pages : 512

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Book Description
A collection of essays in honour of Clive Granger. The chapters are by some of the world's leading econometricians, all of whom have collaborated with and/or studied with both) Clive Granger. Central themes of Granger's work are reflected in the book with attention to tests for unit roots and cointegration, tests of misspecification, forecasting models and forecast evaluation, non-linear and non-parametric econometric techniques, and overall, a careful blend of practical empirical work and strong theory. The book shows the scope of Granger's research and the range of the profession that has been influenced by his work.

Recent Developments in Nonlinear Cointegration with Applications to Macroeconomics and Finance

Recent Developments in Nonlinear Cointegration with Applications to Macroeconomics and Finance PDF Author: Gilles Dufrénot
Publisher: Springer Science & Business Media
ISBN: 1475736150
Category : Business & Economics
Languages : en
Pages : 319

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Book Description
This book is an introductory exposition of different topics that emerged in the literature as unifying themes between two fields of econometrics of time series, namely nonlinearity and nonstationarity. Papers on these topics have exploded over the last two decades, but they are rarely ex amined together. There is, undoubtedly, a variety of arguments that justify such a separation. But there are also good reasons that motivate their combination. People who are reluctant to a combined analysis might argue that nonlinearity and nonstationarity enhance non-trivial problems, so their combination does not stimulate interest in regard to plausibly increased difficulties. This argument can, however, be balanced by other ones of an economic nature. A predominant idea, today, is that a nonstationary series exhibits persistent deviations from its long-run components (either deterministic or stochastic trends). These persistent deviations are modelized in various ways: unit root models, fractionally integrated processes, models with shifts in the time trend, etc. However, there are many other behaviors inherent to nonstationary processes, that are not reflected in linear models. For instance, economic variables with mixture distributions, or processes that are state-dependent, undergo episodes of changing dynamics. In models with multiple long-run equi libria, the moving from an equilibrium to another sometimes implies hys teresis. Also, it is known that certain shocks can change the economic fundamentals, thereby reducing the possibility that an initial position is re-established after a shock (irreversibility).

Cointegration

Cointegration PDF Author: Bhaskara B. Rao
Publisher: Springer
ISBN: 1349235296
Category : Business & Economics
Languages : en
Pages : 247

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Book Description
`This most commendable volume brings together a set of papers which permits ready access to the means of estimating quantitative relationships using cointegration and error correction procedures. Providing the data to show fully the basis for calculation, this approach is an excellent perception of the needs of senior undergraduates and graduate students.' - Professor W.P. Hogan, The University of Sydney Applied economists, with modest econometric background, are now desperately looking for expository literature on the unit roots and cointegration techniques. This volume of expository essays is written for them. It explains in a simple style various tests for the existence of unit roots and how to estimate cointegration relationships. Original data are given to enable easy replications. Limitations of some existing unit root tests are also discussed.

Likelihood-based Inference in Cointegrated Vector Autoregressive Models

Likelihood-based Inference in Cointegrated Vector Autoregressive Models PDF 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.

The Cointegrated VAR Model

The Cointegrated VAR Model PDF 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.

Recent Developments in Cointegration

Recent Developments in Cointegration PDF Author: Katarina Juselius
Publisher: MDPI
ISBN: 3038429554
Category : Business & Economics
Languages : en
Pages : 219

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Book Description
This book is a printed edition of the Special Issue "Recent Developments in Cointegration" that was published in Econometrics

Cointegration and Long-Horizon Forecasting

Cointegration and Long-Horizon Forecasting PDF Author: Mr.Peter F. Christoffersen
Publisher: International Monetary Fund
ISBN: 1451848137
Category : Business & Economics
Languages : en
Pages : 31

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Book Description
Imposing cointegration on a forecasting system, if cointegration is present, is believed to improve long-horizon forecasts. Contrary to this belief, at long horizons nothing is lost by ignoring cointegration when the forecasts are evaluated using standard multivariate forecast accuracy measures. In fact, simple univariate Box-Jenkins forecasts are just as accurate. Our results highlight a potentially important deficiency of standard forecast accuracy measures—they fail to value the maintenance of cointegrating relationships among variables—and we suggest alternatives that explicitly do so.