EconPapers    
Economics at your fingertips  
 

A Multivariate Unit Root Test Based on the Modified Weighted Symmetric Estimator for VAR(p)

Key-Il Shin

Journal of Applied Statistics, 2004, vol. 31, issue 5, 587-596

Abstract: Multivariate unit root tests for the VAR model have been commonly used in time series analysis. Several unit root tests were developed. Most of the estimators of coefficient matrices developed in the VAR model are obtained using ordinary least squares estimators. In this paper, we suggest a multivariate unit root test based on a modified weighted symmetric estimator. Using a limited Monte Carlo simulation, we compare the powers of the new test statistic and the test statistic suggested in Fuller (1996).

Keywords: Vector Autoregressive Process; Cointegration (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/02664760410001681774 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:31:y:2004:i:5:p:587-596

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664760410001681774

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:japsta:v:31:y:2004:i:5:p:587-596