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Estimation and Testing for Unit Roots in a Partially Nonstationary Vector Autoregressive Moving Average Model

 

作者: SookFwe Yap,   GregoryC. Reinsel,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1995)
卷期: Volume 90, issue 429  

页码: 253-267

 

ISSN:0162-1459

 

年代: 1995

 

DOI:10.1080/01621459.1995.10476509

 

出版商: Taylor & Francis Group

 

关键词: Brownian motion process;Cointegration;Error-correction model;Gaussian estimation;Likelihood ratio test;Reduced-rank estimator

 

数据来源: Taylor

 

摘要:

The Gaussian estimation of a partially nonstationary autoregressive model and the related issue of testing for cointegration using the likelihood ratio test procedure have been considered by others. In this article we extend the Gaussian estimation procedure to partially nonstationary autoregressive moving average models and derive the asymptotic properties of the full-rank and reduced-rank Gaussian estimators. Based on these results, the asymptotic distribution of the likelihood ratio statistic for testing the number of unit roots is obtained. A numerical example based on three U.S. interest rate series is used to illustrate the estimation and testing procedures. The finite-sample properties of the estimation and likelihood ratio test procedures are examined through a small simulation study.

 

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