Advanced Search
MyIDEAS: Login to save this paper or follow this series

Exponential smoothing and spurious correlation: a note

Contents:

Author Info

  • Blackburn, K.
  • Orduna, F.
  • Sola, M.

Abstract

Exponential smoothing can introduce spurious auto-correlation in detrended data. The extent of this depends on the length of lag, the value of the smoothing parameter and the nature of the input process. The most widely-used version of exponential smoothing is the Hodrick-Prescott low-frequency filter.

(This abstract was borrowed from another version of this item.)

Download Info

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" 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.

Bibliographic Info

Paper provided by Economics Division, School of Social Sciences, University of Southampton in its series Discussion Paper Series In Economics And Econometrics with number 9205.

as in new window
Length:
Date of creation: 01 Jan 1992
Date of revision:
Handle: RePEc:stn:sotoec:9205

Contact details of provider:
Postal: Highfield, Southampton SO17 1BJ
Phone: (+44) 23 80592537
Fax: (+44) 23 80593858
Email:
Web page: http://www.economics.soton.ac.uk/
More information through EDIRC

Related research

Keywords:

Other versions of this item:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

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

Cited by:
  1. Jaqueson K. Galimberti & Marcelo L. Moura, 2014. "Improving the Reliability of Real-time Hodrick-Prescott Filtering Using Survey Forecasts," KOF Working papers 14-360, KOF Swiss Economic Institute, ETH Zurich.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:stn:sotoec:9205. 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: (Chris Thorn).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.