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Relative Power of t Type Tests of Stationary and Unit Root Processes

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Listed:
  • Gonzalo, J.
  • Lee, T.H.

Abstract

. This paper shows numerically that the lack of power and size distortions of the Dickey‐Fuller type tests 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 autoregressive model.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Gonzalo, J. & Lee, T.H., 1995. "Relative Power of t Type Tests of Stationary and Unit Root Processes," Papers 36, Boston University - Department of Economics.
    • Handle: RePEc:fth:bostec:36
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    Cited by:

    1. Tilak Abeysinghe & Gulasekaran Rajaguru, 2009. "A Gaussian Test for Cointegration," Microeconomics Working Papers 22013, East Asian Bureau of Economic Research.
    2. Francesca Di Iorio & Umberto Triacca, 2014. "Testing for A Set of Linear Restrictions in VARMA Models Using Autoregressive Metric: An Application to Granger Causality Test," Econometrics, MDPI, vol. 2(4), pages 1-14, December.
    3. Gonzalo, Jesus & Lee, Tae-Hwy, 1998. "Pitfalls in testing for long run relationships," Journal of Econometrics, Elsevier, vol. 86(1), pages 129-154, June.
    4. Lim Kai Jie, Shawn & Chadha, Pavneet & Lau, Joshua & Potdar, Nishad, 2012. "Is the Mongolian Equity Market Efficient? Empirical Evidence from Tests of Weak-Form Efficiency," MPRA Paper 41834, University Library of Munich, Germany.
    5. Jürgen Wolters & Uwe Hassler, 2006. "Unit Root Testing," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 4, pages 41-56, Springer.
    6. González, M. & Gonzalo, Jesús, 1997. "Threshold unit root models," DES - Working Papers. Statistics and Econometrics. WS 6214, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Di Iorio, Francesca & Triacca, Umberto, 2013. "Testing for Granger non-causality using the autoregressive metric," Economic Modelling, Elsevier, vol. 33(C), pages 120-125.
    8. Corduas, Marcella & Piccolo, Domenico, 2008. "Time series clustering and classification by the autoregressive metric," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 1860-1872, January.

    More about this item

    Keywords

    UNIT ROOTS; TESTS;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    Statistics

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