| Schlicht, Ekkehart (2007): Trend Extraction From Time Series With Missing Observations. Discussion Papers in Economics 2007-18 |
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816Kb |
Abstract
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.
| Item Type: | Paper (Discussion Paper) |
|---|---|
| Published in: | Final version in Journal of the Japan Statistical Society 2009, 38(2), 285-92. http://www.jstage.jst.go.jp/article/jjss/38/2/285/_pdf |
| Keywords: | Trend extraction, missing observations, gaps, Hodrick-Prescott filter, Leser filter, spline, time-series, smoothing, interpolation. |
| Collections: | Economics Economics > Discussion Papers in Economics Economics > Discussion Papers in Economics > Statistical Methods |
| Subjects: | 300 Social sciences > 300 Social sciences, sociology and anthropology 300 Social sciences > 330 Economics |
| JEL Classification: | C22, C32, C63, C14 |
| URN: | urn:nbn:de:bvb:19-epub-1927-0 |
| Language: | English |
| ID Code: | 1927 |
| Deposited On: | 22. May 2007 |
| Last Modified: | 24. May 2012 20:35 |
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