Hodrick-Prescott filter (see Hodrick and Prescott (1997)) is a popular tool in macroeconomics for fitting smooth trend to
time series. It is well known that the trend computation according to this filter is equivalent to fitting the local linear
trend plus irregular model with the level disturbance variance restricted to zero and the slope disturbance variance restricted
to be a suitable multiple of the irregular component variance. The multiple used depends on the frequency of the series; for
example, for quarterly series the commonly recommended multiple is . For other intervals there is no consensus, but a frequently suggested value for monthly series is
and the value for an annual series can range from
to
. The data set considered in this example consists of quarterly GNP values for the United States from 1960 to 1991. In the
UCM procedure statements that follow, the presence of the PROFILE option in the ESTIMATE statement implies that the restriction
that the disturbance variance of the slope component be fixed at
is interpreted differently: it implies that the disturbance variance of the slope component be restricted to be
times the estimated irregular component variance, as needed for the Hodrick-Prescott filter. The plot of the fitted trend is shown
in Output 35.5.1, and the plot of the smoothed irregular component, which corresponds to the detrended series, is given in Output 35.5.2. The detrended series can be further analyzed for business cycles.
proc ucm data=sashelp.gnp; id date interval=qtr; model gnp; irregular plot=smooth; level var=0 noest plot=smooth; slope var=0.000625 noest; estimate PROFILE; forecast plot=(decomp); run;
Output 35.5.1: Smoothed Trend for the GNP Series as per the Hodrick-Prescott Filter
Output 35.5.2: Detrended GNP Series