Hi all,
yesterday, after having taught my students the HP decomposition, I
wondered if I should also tell them that one of the greatest time-series
econometricians on Earth recently wrote a rather scathing paper entitled
"Why You Should Never Use the Hodrick-Prescott Filter", where he proposes
a simple alternative.
So this morning I rustled up a little script with Hamilton's filter. Here
it is:
<hansl>
function series hamcycle(series y, bool do_plot[1], string title[null])
h0 = 2 * $pd
h1 = h0 + 4
list PROJ = y(-h0 to -h1)
ols y 0 PROJ -q
# ht = $yhat
hc = $uhat
if do_plot
if !exists(title)
title = argname(y)
endif
print title
diff8 = y - y(-h0)
setinfo diff8 --graph-name="Random walk"
setinfo hc --graph-name="Regression"
list PLT = diff8 hc
plot PLT
options time-series with-lines
literal set linetype 1 lc rgb "#ff0000"
literal set linetype 2 lc rgb "#000000"
literal set key top right
printf "set title '%s'", title
end plot --output=display
endif
return hc
end function
# example
nulldata 300
setobs 4 1947:1
open fedstl.bin
data gdpc1 expgsc1 pcecc96
list Y = gdpc1 expgsc1 pcecc96
LY = logs(Y)
strings Titles = strsplit("GDP Exports Consumption")
k = 1
# reproduce part of figure 6
loop foreach i LY --quiet
hc = hamcycle($i*100,,Titles[k++])
endloop
</hansl>
Should we turn this into a function package?
-------------------------------------------------------
Riccardo (Jack) Lucchetti
Dipartimento di Scienze Economiche e Sociali (DiSES)
Università Politecnica delle Marche
(formerly known as Università di Ancona)
r.lucche...@univpm.it
http://www2.econ.univpm.it/servizi/hpp/lucchetti
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