Lost line
Steven, this measure is also called the root mean squared error (which is
reported in the -reg- command but not in the -svy: reg- command), and it
measures the average deviation of a predicted value from the actual observed
value in the sample.
--Rich
Richard A. Forshee, Ph.D.
Deputy Director & Director of Research
Center for Food, Nutrition, and Agriculture Policy
University of Maryland--College Park
1122 Patapsco Building
College Park, MD 20742-6726
Phone: 301-405-8222
Fax: 301-405-7979
E-mail: [email protected]
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-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Steven Samuels
Sent: Wednesday, August 22, 2007 9:59 AM
To: [email protected]
Subject: Re: st: Standard error of the estimate for svy: reg
Lost Line
Rich,
I don't have access to this journal. My question: standard error of
WHAT estimate?
-Steve
On Aug 22, 2007, at 9:46 AM, Richard Forshee wrote:
> Sacrificial line
>
> A recent article in my field encourages reporting both the R-
> squared and the
> Standard Error of the Estimate (or Root MSE). (James S. Krueger
> and Michael
> S. Lewis-Beck. Goodness-of-Fit: R-Squared, SEE and 'Best
> Practice'. The
> Political Methodologist, vol. 15, no. 1, pp 2-4. 2007)
>
> When I run a svy: reg command, I do not see the SEE (or Root MSE)
> reported.
> I checked ereturn list, and I did not see anything that appeared to
> be the
> SEE. Is there a way calculate the SEE when running a svy: reg
> command?
> Maybe it could be derived using the predict , stdp postestimation
> command?
> Or is there a reason that SEE is not appropriate in the context of
> a svy:
> reg command?
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