Re: st: Standard error of the forecast and multivariate regression

[Gillian.Frost@hsl.gsi.gov.uk]

Hi Nick,

Thanks for your response.

But wouldn't that be the same for the se of the prediction, which Stata 
quite happily produces after -mvreg- using -predict newvar, stdp- ?

Many thanks,

Gillian




From:   Nick Cox <njcoxstata@gmail.com>
To:     "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Date:   29/10/2013 17:01
Subject:        Re: st: Standard error of the forecast and multivariate 
regression
Sent by:        owner-statalist@hsphsun2.harvard.edu



The se of the forecast would presumably be matrix-valued with a
multivariate response, as a variance-covariance matrix, not that that
itself prevents a calculation.


Nick
njcoxstata@gmail.com


On 29 October 2013 16:52,  <Gillian.Frost@hsl.gsi.gov.uk> wrote:
> Hello all,
>
> This is probably a statistical question, but I wondered if anyone could
> help me.
>
> I was wondering if anyone could provide me with a reason why it is not
> possible to generate the standard error of the forecast using -predict
> newvar, stdf- after multivariate regression using -mvreg- ?
> I read somewhere in the help files (although I can't see where now) that
> the -stdf- option can only be used for a regression where the score can 
be
> calculated using -predict newvar, score-.  Now -mvreg- doesn't allow the
> score option of -predict-, which I'm guessing is why stdf cannot be
> specified.  However this doesn't really explain why the score option is
> not valid for multivariate regression.  Can anyone help?
>
> Is this specific to Stata, or would this be the same in whichever
> statistical package you were using?  I'm just wondering if I could turn 
to
> R or some other programme.
>
> I'd be grateful for any insights.
>
> Many thanks,
>
> Gillian
>
>
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