Advanced Search
MyIDEAS: Login

Covariate Unit Root Tests with Good Size and Power

Contents:

Author Info

  • Fossati, Sebastian

    () (University of Alberta, Department of Economics)

Abstract

The selection of the truncation lag for covariate unit root tests is analyzed using Monte Carlo simulation. It is shown that standard information criteria such as the BIC or the AIC can result in tests with large size distortions. Modifi ed information criteria can be used to construct tests with good size and power. An empirical illustration is provided.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.uofaweb.ualberta.ca/economics2/pdfs/WP2011-04-Fossati.pdf
File Function: Full text
Download Restriction: no

Bibliographic Info

Paper provided by University of Alberta, Department of Economics in its series Working Papers with number 2011-4.

as in new window
Length: 31 pages
Date of creation: 01 May 2011
Date of revision:
Handle: RePEc:ris:albaec:2011_004

Contact details of provider:
Postal: 8-14 HM Tory, Edmonton, Alberta, T6G 2H4
Phone: (780) 492-3406
Fax: (780) 492-3300
Web page: http://www.uofaweb.ualberta.ca/economics/
More information through EDIRC

Related research

Keywords: unit root tests; truncation lag; information criteria; vector autoregressions;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Kazuki Hiraga, 2011. "New Methods for Testing the Sustainability of Government Debt," Keio/Kyoto Joint Global COE Discussion Paper Series 2011-020, Keio/Kyoto Joint Global COE Program.
  2. Fossati, Sebastian, 2011. "Unit Root Testing with Stationary Covariates and a Structural Break in the Trend Function," Working Papers 2011-10, University of Alberta, Department of Economics.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ris:albaec:2011_004

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Brenda Carrier).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.