Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/67876 
Year of Publication: 
2012
Series/Report no.: 
Queen's Economics Department Working Paper No. 1297
Publisher: 
Queen's University, Department of Economics, Kingston (Ontario)
Abstract: 
We suggest improved tests for cointegration rank in the vector au- toregressive (VAR) model and develop asymptotic distribution theory and local power results. The tests are (quasi-)likelihood ratio tests based on a Gaussian likelihood, but of course the asymptotic results apply more generally. The power gains relative to existing tests are due to two factors. First, instead of basing our tests on the conditional (with respect to the initial observations) likelihood, we follow the recent unit root literature and base our tests on the full likelihood as in, e.g., Elliott, Rothenberg, and Stock (1996). Secondly, our tests incorporate a signrestriction which generalizes the one-sided unit root test. We show that the asymptotic local power of the proposed tests dominates that of existing cointegration rank tests.
Subjects: 
cointegration rank
efficiency
likelihood ratio test
vector autoregression
JEL: 
C12
C32
Document Type: 
Working Paper

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