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Re: st:Why fixed effect estimates are different using Stata and SPSS?
From |
Steven Samuels <[email protected]> |
To |
[email protected] |
Subject |
Re: st:Why fixed effect estimates are different using Stata and SPSS? |
Date |
Tue, 6 Jan 2009 21:16:34 -0500 |
MANDY,
I'm not experienced with SPSS, and the SPSS manual is not much help.
However, I think that the Stata command that will produce results
most comparable to your SPSS commands is -xtmixed- with the -reml-
option. You noted that in your original post. There are many options
for estimating standard errors, and these might not be comparable.
-xtreg- with -fe- (or -re-) does not use the REML algorithm to
compute estimates and therefore will not reproduce the SPSS figures.
The models are also different quite different, as the -fe- command.
You might get similar, if not identical, results from -xtreg- with
the -mle- option and SPSS MIXED with /METHOD = ML.
=Steve
On Jan 6, 2009, at 7:50 PM, Mandy fu wrote:
Hi Mr. Samuels,
Thanks for helping out! I really apprecaite it.
Sorry to bother you again . After adding the statement that I forgot,
the SPSS result is still different from Stata. It'll be great if you
could give me some suggestion how to revise the commands to get the
same result as Stata. Thanks a lot!
Mandy
On Tue, Jan 6, 2009 at 7:10 PM, Steven Samuels
<[email protected]> wrote:
The two setups are not comparable. In your SPSS syntax, you left
out a
statement like:
/RANDOM = INTERCEPT | SUBJECT(id)
-Steve
On Jan 6, 2009, at 7:01 PM, Mandy fu wrote:
I find the results I got from estimating a simple fixed effect model
using Stata are quite different from what using SPSS. I was quite
confused that since SPSS estimates fixed effect using linear mixed
model (LMM), while in Stata when estimating LMM, I should use
-xtmixed- command instead of --xtreg--command.
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