IDEAS home Printed from https://ideas.repec.org/a/akh/journl/525.html

Using different null hypotheses to test for seasonal unit roots in economic time series

Author

Listed:
  • Antonio Aguirre

    (Universidade Federal de Minas Gerais (UFMG))

  • Andreu Sansó

    (Universidad de Barcelona)

Abstract

This paper tries to make a contribution by discussing the application of different testing procedures to determine the seasonal properties of quarterly data. We focus on the Hylleberg et al. and on the Canova-Hansen tests. The former detect a unit root at the zero frequency but no seasonal unit roots. The latter reveal that the series displays a statistically significant seasonal pattern with changing coefficients of some seasonal dummy variables. The CH tests finding of a seasonal unit root at frequency ? does not agree with the HEGY-type test results. An explanation is given to try to interpret these two contradictory outcomes.

Suggested Citation

  • Antonio Aguirre & Andreu Sansó, 2002. "Using different null hypotheses to test for seasonal unit roots in economic time series," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1-2), pages 3-26, January-D.
    • Handle: RePEc:akh:journl:525
    as

    Download full text from publisher

    File URL: https://revistas.unlp.edu.ar/Economica/article/view/8513/7061
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

    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:akh:journl:525. 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: Laura Carella (email available below). General contact details of provider: https://edirc.repec.org/data/funlpar.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.