Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/93531 
Year of Publication: 
2013
Series/Report no.: 
Working Paper Series in Economics No. 280
Publisher: 
Leuphana Universität Lüneburg, Institut für Volkswirtschaftslehre, Lüneburg
Abstract: 
This paper proposes a new likelihood-based panel cointegration rank test which extends the test of Orsal and Droge (2012) (henceforth Panel SL test) to allow for crosssectional dependence. The dependence is modelled by unobserved common factors which affect the variables in each cross-section through heterogeneous loadings. The common components are estimated following the panel analysis of nonstationarity in idiosyncratic and common components (PANIC) approach of Bai and Ng (2004) and the estimates are subtracted from the observations. The cointegrating rank of the defactored data is then tested by the Panel SL test. A Monte Carlo study demonstrates that the proposed testing procedure has reasonable size and power properties in finite samples.
Subjects: 
panel cointegration rank test
cross-sectional dependence
common factors
likelihoodratio
time trend
JEL: 
C12
C15
C33
Document Type: 
Working Paper

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