An Alternative to the Hodrick-Prescott Filter

In the working paper titled "Why You Should Never Use the Hodrick-Prescott Filter", James D. Hamilton proposes a new alternative to economic time series filtering. The neverhpfilter package provides functions and data for reproducing his work. Hamilton (2017) .


neverhpfilter Package

CRAN_Status_Badge R-CMD-check

Introduction

In the working paper titled "Why You Should Never Use the Hodrick-Prescott Filter", James D. Hamilton proposes a new alternative to economic time series filtering. The neverhpfilter package provides functions and data for reproducing his solution. Hamilton (2017) doi:10.3386/w23429

Hamilton's abstract offers an excellent introduction:

(1) The HP filter produces series with spurious dynamic relations that have no basis in the underlying data-generating process. (2) Filtered values at the end of the sample are very different from those in the middle, and are also characterized by spurious dynamics. (3) A statistical formalization of the problem typically produces values for the smoothing parameter vastly at odds with common practice, e.g., a value for $\lambda$ far below 1600 for quarterly data. (4) There's a better alternative. A regression of the variable at date $t + h$ on the four most recent values as of date $t$ offers a robust approach to detrending that achieves all the objectives sought by users of the HP filter with none of its drawbacks.

Getting Started

Install from CRAN on R version >= 3.5.0.

install.packages("neverhpfilter")

Or install from the Github master branch on R version >= 3.5.0.

devtools::install_github("JustinMShea/neverhpfilter")

Load the package

library(neverhpfilter)

Package Documentation

The package consists of 2 estimation functions, 12 economic xts objects, an xts object containing Robert Shiller's U.S. Stock Markets and CAPE Ratio data from 1871 to Present, and a data.frame containing the original filter estimates found on table 2 of Hamilton (2017) doi:10.3386/w23429

Documentation for each can be found here:

Finally, a vignette recreating the estimates of the original work can be found in Reproducing Hamilton.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("neverhpfilter")

0.5-0 by Justin M. Shea, a year ago


https://justinmshea.github.io/neverhpfilter/


Report a bug at https://github.com/JustinMShea/neverhpfilter/issues


Browse source code at https://github.com/cran/neverhpfilter


Authors: Justin M. Shea [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Depends on xts, zoo

Suggests simplermarkdown, tinytest


See at CRAN