Am 27.05.2011 16:41, schrieb Oscar Soppelsa:
I want to express my congratulations to Professor A. Cottrell and
Professor R. Lucchetti for the awesome gretl software. I'm studying
the manual and it's impressive.
Indeed!
I have written this code in order to estimate an ARMA(1,1) model on
/I/(0) time series using a moving window which uses only the last 20
values from the time series, "forgetting" gradually all the past
information older than last 20 values.
The code (/n/ = 1057):
smpl 1 20
loop for i = 1..1057
arima 1 0 1 ; ld_Close
smpl +1 +1
endloop
Now I will try to create two new variables which are the AR(1) and
MA(1) coefficients. Do you suggest me to use genr to create these
variables? Does the command
genr c = $coeff
could allow me to create such a time series of coefficients?
smpl full
series AR = NA
series MA = NA
smpl 1 20
loop for i = 1..1057 --quiet
catch arima 1 0 1 ; ld_close --quiet
if !err
AR[19+i] = $coeff[2]
MA[19+i] = $coeff[3]
endif
smpl +1 +1
endloop
smpl full
This code gives you the estimates you want if there are 20 observations
included in the sample.
Thank you,
Oscar
-----Messaggio originale-----
Da: gretl-users-bounces(a)lists.wfu.edu
[mailto:gretl-users-bounces@lists.wfu.edu] Per conto di Allin Cottrell
Inviato: Thursday, 26 May 2011 5:38 PM
A: Gretl list
Oggetto: Re: [Gretl-users] R: Rolling parameter estimate
On Thu, 26 May 2011, Oscar Soppelsa wrote:
> Thank Artur and Riccardo very much for your answer! I've two question
now:
>
> 1. could you explain me the syntax about the selection of the sample's
> dimension? What does this mean? ---> i=1982:1..1987:3
One standard form of loop in gretl uses the construction
loop i=1..10
which should be self-explanatory (but is also explained in the
manual). The variant above uses the convenience functionality of
representing integer observations numbers as dates (in this case,
quarterly dates).
> 2. After the rolling parameters estimation, how can I print on the
monitor a
> vertical array whose elements are coefficients, std. errors, z, p-values
> etc.? I would need to export this array in Excel, for example.
Regression coefficients and standard errors are accessible in
matrix form as $coeff and $stderr, after estimating a model.
z-scores and p-values can easily be computed -- see the pvalue()
function. Matrices can be concatenated and reshaped at will, see
the chapter on matrices in the User's Guide. They can also be
printed in whatever form is appropriate - see the "printf"
command.
Allin Cottrell
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