Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/66282 
Year of Publication: 
1997
Series/Report no.: 
SFB 373 Discussion Paper No. 1997,93
Publisher: 
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, Berlin
Abstract: 
The impact of the choice of the lag length on tests for the number of cointegration relations in a vector autoregressive (VAR) process is investigated. It is shown that the asymptotic distribution of likelihood ratio (LR) tests for the cointegrating rank remains unchanged if the true data generation process (DGP) is of finite order and a consistent model selection criterion is used for choosing the lag length. A similar result also holds if the true DGP is an in finite order VAR. In a simulation study we find that small sample power and size of LR cointegration tests strongly depend on the choice of the lag order.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

Files in This Item:
File
Size
282.64 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.