IDEAS home Printed from https://ideas.repec.org/p/wlu/wpaper/92006.html
   My bibliography  Save this paper

The Influence of Seasonal Adjustment on the Canadian Consumption Function; 1947-1991

Author

Listed:
  • Siklos, P.L.
  • Lee, H.S.

Abstract

Cointegration tests typically rely on seasonally adjusted data. Cointegration tests are applied in this paper to seasonally unadjusted data. The main objective of the paper is to test the permanent income hypothesis using Canadian data. The authors find that the unit root at the zero frequency found in seasonally adjusted data is also present in seasonally unadjusted data. However, there is considerable evidence for the presence of seasonal unit roots. Although there is support for the permanent income hypothesis for seasonally adjusted data, the same hypothesis is rejected for seasonally unadjusted data.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Siklos, P.L. & Lee, H.S., 1992. "The Influence of Seasonal Adjustment on the Canadian Consumption Function; 1947-1991," Working Papers 92006, Wilfrid Laurier University, Department of Economics.
  • Handle: RePEc:wlu:wpaper:92006
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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. Lee, Hahn S. & Siklos, Pierre L., 1995. "A note on the critical values for the maximum likelihood (seasonal) cointegration tests," Economics Letters, Elsevier, vol. 49(2), pages 137-145, August.
    2. Granger, C. W. J. & Siklos, Pierre L., 1995. "Systematic sampling, temporal aggregation, seasonal adjustment, and cointegration theory and evidence," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 357-369.
    3. Lee, Hahn Shik & Siklos, Pierre L., 1997. "The role of seasonality in economic time series reinterpreting money-output causality in U.S. data," International Journal of Forecasting, Elsevier, vol. 13(3), pages 381-391, September.
    4. Reimers, Hans-Eggert, 1997. "Forecasting of seasonal cointegrated processes," International Journal of Forecasting, Elsevier, vol. 13(3), pages 369-380, September.
    5. Albertson, Kevin & Aylen, Jonathan, 2003. "Forecasting the behaviour of manufacturing inventory," International Journal of Forecasting, Elsevier, vol. 19(2), pages 299-311.

    More about this item

    Keywords

    economic models ; consumption;

    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:wlu:wpaper:92006. 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: Glen Stewart (email available below). General contact details of provider: https://edirc.repec.org/data/sbwluca.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.