Advanced Search
MyIDEAS: Login to save this article or follow this journal

The Size and Power of Bootstrap and Bartlett-Corrected Tests of Hypotheses on the Cointegrating Vectors

Contents:

Author Info

  • Pieter Omtzigt
  • Stefano Fachin

Abstract

In this paper we compare Bartlett-corrected, bootstrap, and fast double bootstrap tests on maximum likelihood estimates of cointegration parameters. The key result is that both the bootstrap and the Bartlett-corrected tests must be based on the unrestricted estimates of the cointegrating vectors: procedures based on the restricted estimates have almost no power. The small sample size bias of the asymptotic test appears so severe as to advise strongly against its use with the sample sizes commonly available; the fast double bootstrap test minimizes size bias, while the Bartlett-corrected test is somehow more powerful.

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.tandfonline.com/doi/abs/10.1080/07474930500545439
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Econometric Reviews.

Volume (Year): 25 (2006)
Issue (Month): 1 ()
Pages: 41-60

as in new window
Handle: RePEc:taf:emetrv:v:25:y:2006:i:1:p:41-60

Contact details of provider:
Web page: http://www.tandfonline.com/LECR20

Order Information:
Web: http://www.tandfonline.com/pricing/journal/LECR20

Related research

Keywords: Bartlett correction; Bootstrap; Cointegration; Fast double bootstrap;

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. Ahlgren, N. & Antell, J., 2008. "Bootstrap and fast double bootstrap tests of cointegration rank with financial time series," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4754-4767, June.
  2. Tang, Chor-Foon & Lau, Evan, 2011. "The Behaviour of Disaggregated Public Expenditures and Income in Malaysia," Review of Applied Economics, Review of Applied Economics, vol. 7(1-2).
  3. Di Iorio, Francesca & Fachin, Stefano, 2007. "Cointegration testing in dependent panels with breaks," MPRA Paper 3139, University Library of Munich, Germany.
  4. Zohrabyan, Tatevik & Leatham, David J. & Bessler, David A., 2008. "Cointegration Analysis of Regional House Prices in U.S," Proceedings: 2007 Agricultural and Rural Finance Markets in Transition, October 4-5, 2007, St. Louis, Missouri 48138, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
  5. Takamitsu Kurita, 2009. "A note on small-sample correction for hypothesis testing on cointegrating vectors: recursive Monte Carlo analysis," Economics Bulletin, AccessEcon, vol. 29(3), pages 1588-1595.
  6. Gunnar BĂ„rdsen & Luca Fanelli, 2013. "Frequentist evaluation of small DSGE models," Working Paper Series 14113, Department of Economics, Norwegian University of Science and Technology.

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:taf:emetrv:v:25:y:2006:i:1:p:41-60. See general information about how to correct material in RePEc.

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

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.