“GLS based unit root tests for bounded processes”
We show that the use of generalized least squares (GLS) detrending procedures leads to important empirical power gains compared to ordinary least squares (OLS) detrend- ing method when testing the null hypothesis of unit root for bounded processes. The non-centrality parameter that is used in the GLS-detrending depends on the bounds, so that improvements on the statistical inference are to be expected if a case-specific parameter is used. This initial hypothesis is supported by the simulation experiment that has been conducted.
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|Date of revision:||Apr 2013|
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- Serena Ng & Pierre Perron, 2001.
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"A simple modification to improve the finite sample properties of Ng and Perron's unit root tests,"
Elsevier, vol. 94(1), pages 12-19, January.
- Pierre Perron & Zhongjun Qu, 2006. "A Simple Modification to Improve the Finite Sample Properties of Ng and Perron’s Unit Root Tests," Boston University - Department of Economics - Working Papers Series WP2006-010, Boston University - Department of Economics.
- repec:att:wimass:9220 is not listed on IDEAS
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NBER Technical Working Papers
0144, National Bureau of Economic Research, Inc.
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"GLS Detrending, Efficient Unit Root Tests and Structural Change,"
Cahiers de recherche
9809, Universite de Montreal, Departement de sciences economiques.
- Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
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