Abstract
We derive the exact expression for the weights of the Hodrick-Prescott (HP)
filter in finite sample without making any assumptions about the statistical
properties of the time series. We use the results to give insights about the
properties of the HP filter and to build a fast algorithm with computational
improvements by a factor of up to three times in samples typical in economics.
filter in finite sample without making any assumptions about the statistical
properties of the time series. We use the results to give insights about the
properties of the HP filter and to build a fast algorithm with computational
improvements by a factor of up to three times in samples typical in economics.
Original language | English |
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Pages (from-to) | 314-318 |
Number of pages | 5 |
Journal | Review of economics and statistics |
Volume | 99 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2 May 2017 |
Bibliographical note
© by the President and Fellows of Harvard College and the Massachusetts Institute of Technology. Embargo period: 12 months. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.Keywords
- trend component; cyclical component; smoothing parameter; Sherman-Morrison.
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Datasets
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Replication data for: "The Explicit Formula for the Hodrick-Prescott Filter in Finite Sample"
Cornea-Madeira, A. (Creator), Harvard Dataverse, 28 Jan 2016
DOI: 10.7910/dvn/36ol91
Dataset