Trend Extraction From Time Series With Missing Observations
Trend extraction from time series is often performed by using the filter proposed by Leser (1961), also known as the Hodrick-Prescott filter. A practical problem arises, however, when some data points are missing. This note proposes a method for coping with this problem.
|Date of creation:||May 2007|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.vwl.uni-muenchen.de
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:lmu:muenec:1927. 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: (Alexandra Frank)
If references are entirely missing, you can add them using this form.