CIPS test for Unit Root in Panel Data: further Monte Carlo results
This paper analyzes, through Monte Carlo experiments, the behaviour of Pesaran's CIPS test for the null of a unit root in panel data when (i) the assumption of a single common factor in the specification of the cross-section dependence is violated and (ii) the autoregressive order of the residuals is estimated. The simulation analysis points to the single common factor as a fundamental assumption for a suitable behaviour of the CIPS test and suggests that the test delivers the best performance when the truncation lag is estimated as a deterministic function of the sample size.
Volume (Year): 3 (2008)
Issue (Month): 16 ()
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- Campbell, J.Y. & Perron, P., 1991.
"Pitfalls and Opportunities: What Macroeconomics should know about unit roots,"
360, Princeton, Department of Economics - Econometric Research Program.
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- Campbell, John & Perron, Pierre, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," Scholarly Articles 3374863, Harvard University Department of Economics.
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- Galor, Oded, 1996.
"Convergence? Inferences from Theoretical Models,"
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1350, C.E.P.R. Discussion Papers.
- Serena Ng & Pierre Perron, 2001.
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- Serena Ng & Pierre Perron, 1997. "Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power," Boston College Working Papers in Economics 369, Boston College Department of Economics, revised 01 Sep 2000.
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