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st: OLS parameters differences Stata vs SPSS
From
Gerardo MagaƱa <[email protected]>
To
[email protected]
Subject
st: OLS parameters differences Stata vs SPSS
Date
Thu, 29 Jun 2006 13:45:57 +0200
Hi.
Sorry for this silly question......I'm running an OLS regression both in
Stata and SPSS, to replicate the Mankiw-Romer model. Nevertheless, the
output parameters from both programs are substantial different. The problem
is that the parameters from SPSS resembles very well the original results of
Mankiw-Romer.
Does anybody knows why the difference in the parameters estimation? Is it
possible to alter the way stata runs the OLS procedure ?
Thanks for your kindly help.
Gerardo
From: Roger Harbord <[email protected]>
Reply-To: [email protected]
To: [email protected]
CC: [email protected]
Subject: Re: st: Re: metareg w/ clustering?
Date: Thu, 29 Jun 2006 12:08:42 +0100
-metareg- does meta-analysis regression, aka. meta-regression. It assumes
you have summary data for an outcome and its variance within each
group/study, similar to -vwls-, except it estimates an additional
between-group/study variance component tau-squared. Using regular
regression with analytic weights would estimate a multiplicative
overdispersion parameter that multiplies each within-study variance rather
than an additive component of variance.
-metareg- does not have -cluster- or -robust- options. It would not be
straightforward to add these to the code as it does not use conventional
maximum likelihood estimation. I guess it might be possible to use
-_robust- afterwards as Rodrigo suggests (i'd never noticed this command
before), but it's not obvious to me what the score variable that -_robust-
requires should be.
I'd be curious to know a bit more about your application, in particular
what your clusters are. In your example you specify varA as a covariate and
also as the cluster id variable - i have difficulty imagining how this
could be useful.
Best wishes,
Roger.
--On 28 June 2006 16:13 -0400 "Rodrigo A. Alfaro" <[email protected]>
wrote:
Erick,
I don't know what metareg does. But maybe you can use -_robust- after the
regression.
There is a better description of -_robust- in Programming book.
Rodrigo.
----- Original Message -----
From: "Erick Turner" <[email protected]>
To: <[email protected]>
Sent: Wednesday, June 28, 2006 2:57 PM
Subject: st: metareg w/ clustering?
Is there a way to combine the cluster command with -metareg-, as can be
done for other types of regression?
I tried
. metareg g varA varB varC, robust cluster(varA)
but I got
option robust not allowed
r(198);
Tech support couldn't say much, since -metareg- is user-written, but
suggested something might be done with regular regression but using
analytic weights.
Thanks for any thoughts.
Erick
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