IDEAS home Printed from https://ideas.repec.org/a/ids/ijcome/v13y2023i3p270-304.html
   My bibliography  Save this article

Quantile regression-based seasonal adjustment

Author

Listed:
  • Massimiliano Caporin
  • Mohammed Elseidi

Abstract

We introduce a seasonal adjustment method based on quantile regression that focuses on capturing different forms of deterministic seasonal patterns. Given a variable of interest, by describing its seasonal behaviour over an approximation of the entire conditional distribution, we are capable of removing seasonal patterns affecting the mean and/or the variance or seasonal patterns varying over quantiles of the conditional distribution. We provide empirical examples based on simulated and real data through which we compare our proposal to least squares approaches.

Suggested Citation

  • Massimiliano Caporin & Mohammed Elseidi, 2023. "Quantile regression-based seasonal adjustment," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 13(3), pages 270-304.
    • Handle: RePEc:ids:ijcome:v:13:y:2023:i:3:p:270-304
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=132144
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijcome:v:13:y:2023:i:3:p:270-304. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=311 .

    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.