IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v20y2002i3p117-38.html
   My bibliography  Save this article

Inverting the Hodrick-Prescott Filter

Author

Listed:
  • Landon-Lane, John

Abstract

The Hodrick-Prescott (HP) filter is the most popular method of transforming data in the Real Business Cycle (RBC) literature. An algorithm to invert the Hodrick-Prescott (HP) filter is described. This algorithm is applied, using Markov chain Monte Carlo methods, to the problem of evaluating a simple RBC model. The problem of determining the optimal smoothing parameter for the HP filter is also studied. Copyright 2002 by Kluwer Academic Publishers

Suggested Citation

  • Landon-Lane, John, 2002. "Inverting the Hodrick-Prescott Filter," Computational Economics, Springer;Society for Computational Economics, vol. 20(3), pages 117-138, December.
  • Handle: RePEc:kap:compec:v:20:y:2002:i:3:p:117-38
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0927-7099/contents
    Download Restriction: Access to the full text of the articles in this series is restricted.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adrian Pagan & Tim Robinson, 2011. "Assessing Some Models of the Impact of Financial Stress upon Business Cycles," RBA Research Discussion Papers rdp2011-04, Reserve Bank of Australia.

    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:kap:compec:v:20:y:2002:i:3:p:117-38. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.