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No lack of relative power of the Dickey-Fuller tests for unit roots

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  • Gonzalo, Jesús
  • Lee, Tae-Hwy

Abstract

This paper shows numerically that the lack ofpower and size distortions of the Dickey-Fuller type test for unit roots (very well documented in the unit root literature) are similar to and in many situations even smaller than the lack of power and size distortions of the standard Student-t tests for stationary roots of an AR model.

Suggested Citation

  • Gonzalo, Jesús & Lee, Tae-Hwy, 1995. "No lack of relative power of the Dickey-Fuller tests for unit roots," DES - Working Papers. Statistics and Econometrics. WS 4512, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:wsrepe:4512
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    References listed on IDEAS

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    1. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    2. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    3. Hall, Alastair, 1992. "Testing for a unit root in time series using instrumental variable estimators with pretest data based model selection," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 223-250.
    4. Kim, Kiwhan & Schmidt, Peter, 1993. "Unit root tests with conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 59(3), pages 287-300, October.
    5. Nelson, Daniel B., 1990. "Stationarity and Persistence in the GARCH(1,1) Model," Econometric Theory, Cambridge University Press, vol. 6(3), pages 318-334, September.
    6. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
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