Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: meanonly


From   Chiara Mussida <cmussida@gmail.com>
To   statalist@hsphsun2.harvard.edu
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 <maartenlbuis@gmail.com> 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 <cmussida@gmail.com> wrote:
>> ok. What is the most efficient way to store the mean as scalars?
>> Thanks
>>
>> On 10/04/2012, Maarten Buis <maartenlbuis@gmail.com> 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/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index