Dynamic factor extraction of cross-sectional dependence in panel unit root tests
Recently, considerable emphasis has been placed on the problems arising out of cross-sectional dependence in panel unit root tests. This paper adopts the factor-based cross-sectional dependence paradigm of Bai and Ng (2005) but suggests alternative factor extraction methods. Some theoretical results for these methods are provided. Further, a detailed Monte Carlo study of these methods for multiple and persistent factors is undertaken. It is found that results are radically different from the serially uncorrelated single-factor case. Tests perform much worse and in some cases it is preferable not to correct at all for cross-sectional dependence. Copyright © 2007 John Wiley & Sons, Ltd.
Volume (Year): 22 (2007)
Issue (Month): 2 ()
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