Likelihood-based inference in cointegrated vector autoregressive models
by
 
Johansen, Søren, 1939-

Title
Likelihood-based inference in cointegrated vector autoregressive models

Author
Johansen, Søren, 1939-

ISBN
9780198774495
 
9780198774501

Personal Author
Johansen, Søren, 1939-

Publication Information
Oxford ; New York : Oxford University Press, 1995.

Physical Description
x, 267 p. : ill. ; 25 cm.

Series
Advanced texts in econometrics

Series Title
Advanced texts in econometrics

General Note
Includes indexes.

Contents
Pt. I. The Statistical Analysis of Cointegration. 1. Introduction. 2. The Vector Autoregressive Model. 3. Basic Definitions and Concepts. 4. Cointegration and Representation of Integrated Variables. 5. The I(1) Models and their Interpretation. 6. The Statistical Analysis of I(1) Models. 7. Hypothesis Testing for the Long-Run Coefficients [beta]. 8. Partial Systems and Hypotheses on [alpha]. 9. The I(2) Model and a Test for I(2) -- Pt. II. The Probability Analysis of Cointegration. 10. Probability Properties of I(1) Processes. 11. The Asymptotic Distribution of the Test for Cointegrating Rank. 12. Determination of Cointegrating Rank. 13. Asymptotic Properties of the Estimators. 14. The Power Function of the Test for Cointegrating Rank under Local Alternatives. 15. Simulations and Tables -- App. A. Some Mathematical Results -- App. B. Weak Convergence of Probability Measures on R[superscript P] and C[0,1].

Abstract
This book gives a detailed mathematical and statistical analysis of the cointegrated vector autoregressive model. This model has 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-starionary time series. It also allows relevant economic questions to be formulated in a consistent statistical framework. The book is intended to give a relatively self-containing 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.

Subject Term
Econometric models.
 
Autoregression (Statistics)


LibraryMaterial TypeItem BarcodeShelf NumberCopy
1:IIEMSA1:GEN-BOOK33168025472347330.015195 J65L 19951