IDEAS home Printed from
   My bibliography  Save this article

A Multicountry Characterization of the Nonstationarity of Aggregate Output


  • Kormendi, Roger C
  • Meguire, Philip


The authors compute the scaled varlogram (the variances of kth differences scaled by the variance of first differences) of the log of annual per capita real aggregate output (GDP or GNP), as measured by (1) the long series for the United States and United Kingdom; (2) Angus Maddison's (1982) long series for twelve countries; and (3) the postwar IFS data for thirty-two countries. Simulations show that the scaled varlogram of real output is nearly always more consistent with the data being generated by parsimonious difference stationary than trend stationary univariate processes. In fact, the data reveal some "excess nonstationarity" relative to parsimonious ARIMA models. The power of the scaled varlogram to discriminate between trend stationary and difference stationary processes is somewhat greater than that of a Dickey-Fuller type F test. Copyright 1990 by Ohio State University Press.

Suggested Citation

  • Kormendi, Roger C & Meguire, Philip, 1990. "A Multicountry Characterization of the Nonstationarity of Aggregate Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 22(1), pages 77-93, February.
  • Handle: RePEc:mcb:jmoncb:v:22:y:1990:i:1:p:77-93

    Download full text from publisher

    File URL:
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See for details.

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item


    Access and download statistics


    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:mcb:jmoncb:v:22:y:1990:i:1:p:77-93. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.