I think there is something slightly incorrect in the second part of the
ARIMA output. Look for example to the output generated by a pure
seasonal model as the one in this script:
<hansl>
nulldata 500
setobs 4 1:1 --time-series
set seed 1234
eps=randgen(N,0,1)
Yt=0*const
Yt=0.8*Yt(-4)+eps
arma 0 0 ; 1 0 ; Yt --nc
</hansl>
with this seed I obtain here an estimated coefficient of 0.75, and the
second part of the gretl output table reports the roots as:
<output>
Real Imaginary Modulus Frequency
-----------------------------------------------------------
AR (seasonal)
Root 1 1.3223 0.0000 1.3223 0.0000
-----------------------------------------------------------
</output>
but this is not exactly correct. The estimated AR polynomial is (1-0.75
L^4) which has four roots in 1.32, -1.32, 1.32i and -1.32i, all of them
with the same modulus, 1.32, and being their frequencies 0, 0.5, and
0.25 (the two complex roots with the same observed frequency because of
the aliasing problem).
I think for the non-seasonal part it is interesting to report the roots
as we are doing now, but for the seasonal part I think that showing all
the roots and frequencies may be excessive (imagine in the weekly case,
52 roots), but for not inducing the user to something incorrect we
should report only the modulus.
--
Ignacio Diaz-Emparanza
DEPARTAMENTO DE ECONOMÍA APLICADA III (ECONOMETRÍA Y ESTADÍSTICA)
UPV/EHU Avda. Lehendakari Aguirre, 83 | 48015 BILBAO
T.: +34 946013732 | F.: +34 946013754
www.ea3.ehu.es