IDEAS home Printed from https://ideas.repec.org/p/esx/essedp/2766.html
   My bibliography  Save this paper

Long Memory and Aggregation in Macroeconomic Time Series

Author

Listed:
  • Chambers, MJ

Abstract

This paper explores the interaction between long memory and aggregation. Results are derived which link the (possibly fractional) orders of integration of the aggregate series with those of the underlying series when the aggregation is either cross-sectional or temporal (in discrete or continuous time). These results provide empirically testable hypotheses that are examined using six U.K. macroeconomic series. A semiparametric method is found to be broadly consistent with the implications of the theory but fully parametric ARFIMA models show considerable variation. Each series appears to be integrated of an order of between one and one-and-a-half.

Suggested Citation

  • Chambers, MJ, 1995. "Long Memory and Aggregation in Macroeconomic Time Series," Economics Discussion Papers 2766, University of Essex, Department of Economics.
    • Handle: RePEc:esx:essedp:2766
    as

    Download full text from publisher

    File URL: https://repository.essex.ac.uk/2766/
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    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:esx:essedp:2766. 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: Essex Economics Web Manager (email available below). General contact details of provider: https://edirc.repec.org/data/edessuk.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.