This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

On the Power of Cointegration Tests: Dimension Invariance vs. Common Factors

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Anindya Banerjee
Juan J. Dolado
Ricardo Mestre

Additional information is available for the following registered author(s):

Abstract

This paper considers the trade-off, for cointegration tests, between dimension and power: that is, we compare the power performance of test-statistics which are dimension-invariant but impose common-factor restrictions with tests which are not dimension free but do not impose those restrictions. As a by-product of the analysis, we consider cases where the t-ratio form of the tests have better power properties than the coefficient form, in spite of the latter diverging at rate O(T) and the former at O(T), under the alternative hypothesis of cointegration.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by Queen's University, Department of Economics in its series Working Papers with number 922.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 37 pages
Date of creation: 1995
Date of revision:
Handle: RePEc:qed:wpaper:922

Contact details of provider:
Postal: Kingston, Ontario, K7L 3N6
Phone: (613) 533-2250
Fax: (613) 533-6668
Email:
Web page: http://www.econ.queensu.ca/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Mark Babcock).

Related research
Keywords: econometrics

Statistics
Access and download statistics

Did you know? About 900 archives contribute their bibliographic data to RePEc.

This page was last updated on 2008-11-13.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.