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Re: st: meanonly
From
Chiara Mussida <[email protected]>
To
[email protected]
Subject
Re: st: meanonly
Date
Wed, 11 Apr 2012 14:56:57 +0200
i have to use these means, together with the betas of a reg. More
precisely, b are betas by occupation, whilst x are the mean of the
variables in my dataset. To compute the total gender wage gap i have
to compute this for each occupation:
pf (xm-xf)bm + xmbm(pm-pf)+pfxf(bm-bf)+xmbm(pf -pm)
m and f is for male and female. P are the predicted probability from a
mlogit.b as said and asked yesterday are coef from wage reg.
Thanks
On 11/04/2012, Maarten Buis <[email protected]> wrote:
> Haven't we been there before? I suggest you give us the complete story
> as what is efficient depends on what you want to do with those means.
>
> On Wed, Apr 11, 2012 at 12:21 PM, Chiara Mussida <[email protected]> wrote:
>> ok. What is the most efficient way to store the mean as scalars?
>> Thanks
>>
>> On 10/04/2012, Maarten Buis <[email protected]> wrote:
>>> On Tue, Apr 10, 2012 at 4:23 PM, Chiara Mussida wrote:
>>>> su south, meanonly
>>>> scalar variable = r(mean)
>>>> gives me a scalar for the mean of variable south. Is there a way to
>>>> gen scalars for the mean of the variable south by gender and
>>>> occupation? I have 7 occupations. For gender i might simplx add if
>>>> fem==0 to the above command. For occupation is there a loop?
>>>
>>> I think you asked that question before.
>>>
>>> Here are two ways:
>>>
>>> *------------ begin example -------------
>>> sysuse nlsw88, clear
>>> gen byte black = race == 2 if race < 3
>>>
>>> reg wage ibn.black#ibn.occupation, nocons
>>> table occupation black, c(mean wage)
>>> *------------- end example ---------------
>>>
>>> Hope this helps,
>>> Maarten
>>>
>>>
>>>
>>>
>>> --
>>> --------------------------
>>> Maarten L. Buis
>>> Institut fuer Soziologie
>>> Universitaet Tuebingen
>>> Wilhelmstrasse 36
>>> 72074 Tuebingen
>>> Germany
>>>
>>>
>>> http://www.maartenbuis.nl
>>> --------------------------
>>> *
>>> * 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)
>> *
>> * 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/
>
>
>
> --
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
>
> http://www.maartenbuis.nl
> --------------------------
>
> *
> * 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)
*
* 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/