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Re: st: playing with coefficients


From   Chiara Mussida <cmussida@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: playing with coefficients
Date   Fri, 23 Mar 2012 16:08:44 +0100

I got it: for categorical variable c.namevariable, and for dummy
variables? or continuous variable?





On 23/03/2012, Chiara Mussida <cmussida@gmail.com> wrote:
> Occupation takes the values from 1 to 7, therefore by using
> i.occupation I get 7 coefs. i.fem is instead a dummy variable (fem==1
> if female, 0 otherwise). The use of both i.occupation and i.fem
> therefore gives me the coefs for female. How do I get the one for male
> (fem==0)?
>
> Thanks
> chiara
>
> On 23/03/2012, Christopher Baum <kit.baum@bc.edu> wrote:
>> <>
>> Chiara said
>>
>> 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
>>
>> preserve
>> keep if cond3==1 & age>=15 & age<=64 & dipind==1 & hours>20 & hours<55
>> reg lwage i.fem##i.occupation##c.(pexper pexpersq edu2 edu3 child12
>> married
>> northe centre south ftc partime d09)
>> restore
>>
>> If some of the parenthesized variables are categorical, rewrite the
>> latter
>> as
>>
>> (c.pexper c.pexpersq i.edu2 i.edu3 c.child12 ... )
>>
>> You can then use margins to produce coefficients or conditional means for
>> any combinations of gender and occupation.
>>
>> 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)
>


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


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