The Explicit Formula for the Hodrick-Prescott Filter in Finite Sample

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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.
Original languageEnglish
Pages (from-to)314-318
Number of pages5
JournalReview of economics and statistics
Volume99
Issue number2
DOIs
Publication statusPublished - 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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