IDEAS home Printed from https://ideas.repec.org/p/sce/scecf9/511.html
   My bibliography  Save this paper

Size Distortions of Tests of the Null Hypothesis of Stationarity: Evidence and Implications for Applied Work

Author

Listed:
  • Mehmet Caner

    (Bilkent University)

  • Lutz Kilian

    (University of Michigan)

Abstract

It is common in applied econometrics to test a highly persistent process under the null hypothesis against an alternative of a unit root process. We show that the conventional asymptotic critical values for the stationarity tests of Kwiatkowski et al. and Leybourne and McCabe may have substantial size distortions if the model under the null hypothesis is highly persistent. Such size distortions have not been recognized in the literature. The practical importance of these distortions is illustrated when testing for long-run purchasing power parity under current float. Size distortions of tests of the null of a unit root may be overcome by the use of finite sample or bootstrap critical values. We show such corrections are not possible when testing the null of stationarity, and we conclude that tests of this null cannot be recommended for applied work unless the sample size is very large.

Suggested Citation

  • Mehmet Caner & Lutz Kilian, 1999. "Size Distortions of Tests of the Null Hypothesis of Stationarity: Evidence and Implications for Applied Work," Computing in Economics and Finance 1999 511, Society for Computational Economics.
  • Handle: RePEc:sce:scecf9:511
    as

    Download full text from publisher

    File URL: http://www.econ.lsa.umich.edu/~lkilian/
    File Function: main text
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ata Assaf, 2006. "Nonlinear Trend Stationarity in Real Exchange Rates: Evidence from Nonlinear ADF tests," Annals of Economics and Finance, Society for AEF, vol. 7(2), pages 283-294, November.
    2. Guglielmo Maria Caporale & Mario Cerrato, 2004. "Panel Data Tests Of Ppp: A Critical Overview," Economics and Finance Discussion Papers 04-18, Economics and Finance Section, School of Social Sciences, Brunel University.
    3. Ahmad Zubaidi Baharumshah & Raj Aggarwal & Chan Tze Haw, 2007. "East Asian Real Exchange Rates and PPP: New Evidence from Panel-data Tests," Global Economic Review, Taylor & Francis Journals, vol. 36(2), pages 103-119.
    4. Diebold, Francis X & Kilian, Lutz, 2000. "Unit-Root Tests Are Useful for Selecting Forecasting Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 265-273, July.
    5. Culver, Sarah E. & Papell, David H., 1999. "Long-run purchasing power parity with short-run data: evidence with a null hypothesis of stationarity," Journal of International Money and Finance, Elsevier, vol. 18(5), pages 751-768, October.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sce:scecf9:511. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.