Allin
I have tried what you suggested me and every change I
imagined and I keep getting the same.
This is what I have in the script:
arima 0 1 1 ; 0 1 1 ; y --nc
addobs 12
smpl --full
fcast --out-of-sample
matrix yhat = $fcast
matrix se=$fcerr
matrix ci = (yhat - 1.96*se) ~ (yhat + 1.96*se)
series fc1=yhat[,1]
series minor=ci[,1]
series mayor=ci[,2]
…and this is what I get
For 95% confidence intervals, z(0.025) = 1.96
y prediction std.
error 95% interval
1997:06
132791. 33883.8
66379.9 - 199202.
1997:07
178246. 34280.3
111058. - 245434.
1997:08
130851. 34672.3
62894.7 - 198808.
1997:09
119282. 35059.9
50565.9 - 187998.
1997:10
176718. 35443.3
107251. - 246186.
1997:11
166081. 35822.5
95869.8 - 236291.
1997:12
164873. 36197.8
93926.3 - 235819.
1998:01
148782. 36569.2
77108.0 - 220457.
1998:02
140043. 36936.9
67647.5 - 212437.
1998:03
153097. 37301.0
79989.0 - 226206.
1998:04
167374. 37661.5
93558.7 - 241189.
1998:05
151507. 38018.6
76991.9 - 226022.
1998:06
133511. 38372.4
58302.9 - 208720.
Can you please tell me what am I doing wrong?
Thanks
On Tue, 4 Dec 2012, Miviam wrote:
> I'm trying to write an script to save the confidence
intervals after a
> forecast for an ARIMA model but the confidence
intervals all have the
> same size. I read that someone experimented the same
problem some time
> ago. How can I get the correct values? which are
supposed to increase over time.
They will increase over time only if the forecast is
dynamic. The most natural way to ensure that is to forecast out of sample.
<hansl>
open data9-7
# out-of-sample observations to reserve
scalar os = 8
smpl ; -os
arma 1 1 1 ; QNC
fcast --out-of-sample
matrix yhat = $fcast
matrix se = $fcerr
matrix ci = (yhat - 1.96*se) ~ (yhat + 1.96*se) matrix
results = yhat ~ se ~ ci colnames(results, "yhat s.e. low high")
print results </hansl>
Allin Cottrell