This paper addresses the problem of representing noncausality between two sets of cointegrated variables. In this case, maximum likelihood estimates of the parameters may be derived based on Johansen's approach. Likelihood ratio tests for noncausality are derived, which are different depending on the distributions of the unit roots in the marginal subsystem and the autoregressive part of the conditional subsystem. These tests are chi-squared-distributed. A Monte Carlo experiment illustrates t he advantages of the proposed approach when compared to the usual approach based on VAR's in levels. Copyright 1992 by Blackwell Publishing Ltd
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.
Volume (Year): 54 (1992) Issue (Month): 3 (August) Pages: 399-417 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Related research
Keywords:
Other versions of this item:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.) This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.