Show simple item record

dc.contributor.authorOnatski, A.
dc.contributor.authorWang, C.
dc.date.accessioned2016-08-11T15:25:14Z
dc.date.available2016-08-11T15:25:14Z
dc.date.issued2016-06-15
dc.identifier.otherCWPE1637
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/257149
dc.description.abstractJohansen’s (1988, 1991) likelihood ratio test for cointegration rank of a Gaussian VAR depends only on the squared sample canonical correlations between current changes and past levels of a simple transformation of the data. We study the asymptotic behavior of the empirical distribution of those squared canonical correlations when the number of observations and the dimensionality of the VAR diverge to infinity simultaneously and proportionally. We find that the distribution almost surely weakly converges to the so-called Wachter distribution. This finding provides a theoretical explanation for the observed tendency of Johansen’s test to find “spurious cointegration”. It also sheds light on the workings and limitations of the Bartlett correction approach to the over-rejection problem. We propose a simple graphical device, similar to the scree plot, for a preliminary assessment of cointegration in high-dimensional VARs.en
dc.publisherFaculty of Economics
dc.relation.ispartofseriesCambridge Working Papers in Economics
dc.rightsAll Rights Reserveden
dc.rights.urihttps://www.rioxx.net/licenses/all-rights-reserved/en
dc.titleAlternative Asymptotics for Cointegration Tests in Large VARs
dc.typeWorking Paper
dc.identifier.doi10.17863/CAM.1077


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record