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Re: Re: st: playing with coefficients


From   Chiara Mussida <cmussida@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: Re: st: playing with coefficients
Date   Fri, 23 Mar 2012 14:13:56 +0100

I totally agree: is there a way to cast this as a single regression:
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==0 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==1
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==1 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==1
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==0 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==2
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==1 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==2
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==0 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==3
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==1 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==3
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==0 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==4
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==1 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==4
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==0 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==5
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==1 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==5
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==0 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==6
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==1 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==6
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==0 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==7
reg lwage pexper pexpersq edu2 edu3 child12 married northe centre
south ftc partime d09 if fem==1 & cond3==1 & age>=15 & age<=64 &
dipind==1 & hours>20 & hours<55 & occupation==7

therefore to run - better reg - the same regression by gender (fem)
and occupation?
This for sure will facilitate playin with coefs.

Thanks



On 23/03/2012, Christopher Baum <kit.baum@bc.edu> wrote:
> <>
> Sure, I did not state the meaning of playing with coefs from different
> models. The reg are wage equations by gender and occupations. All
> those info will be needed to compute an overall wage decomposition
> across (obviously) gender and all the occupational cats.
>
> Anyway, statsby seems to be the solutio. I'm going more in detail
>
>
> Not at all clear why you want to run separate regressions for gender and
> occupation categories. There are ways to cast this as a single regression,
> which would surely make things simpler in terms of comparisons, and would
> enable formal tests for differences---which you will not have with separate
> equations.
>
> Kit
>
>
> Kit Baum   |   Boston College Economics & 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
>
>
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
>


-- 
Chiara Mussida
PhD candidate
Doctoral school of Economic Policy
Catholic University, Piacenza (Italy)
*
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