Authors: Bayer, Christian
Hanck, Christoph
Title: Is double trouble? How to combine cointegration tests
Language (ISO): en
Abstract: This paper suggests a combination procedure to exploit the imperfect correlation of cointegration tests to develop a more powerful meta test. To exemplify, we combine Engle and Granger (1987) and Johansen (1988) tests. Either of these un- derlying tests can be more powerful than the other one depending on the nature of the data-generating process. The new meta test is at least as powerful as the more powerful one of the underlying tests irrespective of the very nature of the data generating process. At the same time, our new meta test avoids the size distortion inherent in separately applying multiple tests for cointegration to the same data set.
Subject Headings: Cointegration
Meta test
Multiple testing
URI: http://hdl.handle.net/2003/25873
http://dx.doi.org/10.17877/DE290R-14131
Issue Date: 2008-11-26T14:41:51Z
Appears in Collections:Sonderforschungsbereich (SFB) 475

Files in This Item:
File Description SizeFormat 
tr10-08-Bayer.pdfDNB176.61 kBAdobe PDFView/Open


This item is protected by original copyright



This item is protected by original copyright rightsstatements.org