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Re: st: what is SIGMA2 _const in arima
Unfortunately your suggestion (predict x, xb) doesn't work, since as I
mentioned, I am using
arima y x if cohort==1935, ma(2) condition
specifying `condition' takes care of the fact that I have a panel, meaning
repeated observations for each year of data. but when using predict x, xb
after that regression doesn't work, (I tried it already) and adding to it
predict x, xb condition doesn't either.
Any ideas what will work?
Olga Gorbachev Melloni
Ph.D. student in Economics at Columbia University
(212)866-6091
502 W122 Street, apt. 62
NY, NY 10027
From: Robert A Yaffee <[email protected]>
Reply-To: [email protected]
To: [email protected]
Subject: Re: st: what is SIGMA2 _const in arima
Date: Thu, 24 Aug 2006 13:52:25 -0400
Olga,
To obtain the errors, after running the ARIMA, you type:
predict error, resid
To obtain the predicted values in an ARIMA, after running
the ARIMA you type:
predict pred
Regards,
Bob Yaffee
Robert A. Yaffee, Ph.D.
Research Professor
Shirley M. Ehrenkranz
School of Social Work
New York University
home address:
Apt 19-W
2100 Linwood Ave.
Fort Lee, NJ
07024-3171
Phone: 201-242-3824
Fax: 201-242-3825
[email protected]
----- Original Message -----
From: Olga Gorbachev Melloni <[email protected]>
Date: Thursday, August 24, 2006 1:31 pm
Subject: st: what is SIGMA2 _const in arima
> Hi,
> I am trying to estimate a model, in which errors follow an MA(1). I
> have
> panel data, and I assume that for each cohort, coefficients are the
> same. I
> ran:
>
> arima y x if cohort==1935, ma(1) condition
>
> I have two questions:
>
> 1. when the estimation finished its run, it used BFGS and for the
> estimate
> of the white-noise disturbance epsilon it showed instead of the
> usual
> '/sigma', I got SIGMA2 _const =0.10...
>
> what does this mean? I looked in the manual, but there is no
> mention of
> this.
>
> 2. When trying to predict the errors or the predicted values, I got
> an error
> message saying that the sample cannot include panels.
>
> Is there a way to get the predicted values and/or white-noise errors?
>
> thank you,
> olga
>
>
> *
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