F versus t tests for unit roots
F tests which test jointly for a unit root and a zero intercept, and so compete against Dickey-Fuller t tests, are shown not to enhance power because they are invariant to the intercept value in the absence of a unit root. Monte Carlo results in the literature that indicate otherwise are shown to have resulted from the use of special starting values. Testing procedures that employ these F tests to enhance power should be revised.
Volume (Year): 3 (2001)
Issue (Month): 3 ()
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References listed on IDEAS
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- Ayat, L. & Burridge, P., 1996.
"Unit Root Tests in the presence of Uncertainty about the Non-Stochastic Trends,"
96-28, Department of Economics, University of Birmingham.
- Ayat, Leila & Burridge, Peter, 2000. "Unit root tests in the presence of uncertainty about the non-stochastic trend," Journal of Econometrics, Elsevier, vol. 95(1), pages 71-96, March.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
- Perron, Pierre, 1988.
"Trends and random walks in macroeconomic time series : Further evidence from a new approach,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 12(2-3), pages 297-332.
- Perron, P., 1986. "Trends and Random Walks in Macroeconomic Time Series: Further Evidence From a New Approach," Cahiers de recherche 8650, Universite de Montreal, Departement de sciences economiques.
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