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Re: st: bX
From
Chiara Mussida <[email protected]>
To
[email protected]
Subject
Re: st: bX
Date
Sat, 31 Mar 2012 12:53:52 +0200
ok. I now see the matrix of results and I want to gen a scalar for
each occupation and gender combination. I have 7 occupation and fem is
the dummy for gender, the scalar are the 14 b in the matrix:
what do command should gen those scalars after-
for values 1/7 command?
Thanks
Chiara
On 30/03/2012, Christopher Baum <[email protected]> wrote:
> <>
> Chiara said
>
> margins, by(married occupation)
> gives me the product between the Betas of the estimated wage reg and
> the mean value of characteristics for each occupation, for married and
> unmarried. Right?
>
> Correct.
>
> She then said
>
> margins, by(fem occupation)
> gives me all the values of the interactions between fem#occupation,
> therefore a total of 14 interactions (2 genders*7 occupations):
> ...
> is it possible to gen a new variable for each of the listet interaction?
> For example, a variable taking the value 2.398703, etc. This is useful
> for me, since therafter I have to compute calculations by using these
> interactions.
>
>
> You don't need a set of variables; these are scalar quantities. Any
> computations you want to do you can do with
> what comes back from margins. After giving the margins command, type
>
> mat list r(table)
>
> and you will find all of those numbers. You can then do something like (in
> the example I gave, there are 26 conditonal means):
>
> forv i=1/26 {
> sca mu`i' = res[1,`i']
> }
> di mu1
> di mu2
> ...
>
> Those scalars can be used to do any computations you need. You can also
> retrieve their standard errors
> if those are needed in the computation.
>
> Kit
>
> Kit Baum | Boston College Economics and DIW Berlin |
> http://ideas.repec.org/e/pba1.html
> An Introduction to Stata Programming |
> http://www.stata-press.com/books/isp.html
> An Introduction to Modern Econometrics Using Stata |
> http://www.stata-press.com/books/imeus.html
>
>
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> * http://www.stata.com/help.cgi?search
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>
--
Chiara Mussida
PhD candidate
Doctoral school of Economic Policy
Catholic University, Piacenza (Italy)
*
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