Re: st: meanonly

[Chiara Mussida <cmussida@gmail.com>]

Marteen, you're perfectly right!
Programming is the solution and I'm working on this.

the predict command after reg, like:

reg lwage educ2 educ3 north centre
predict pip if fem==0, xb

predicts the betas from the above reg * the mean of the independent
variables in my data, which do not necessarily correspond to the ones
used to fit my reg. Right?

Thanks
Chiara


On 11/04/2012, Maarten Buis <maartenlbuis@gmail.com> wrote:
> I would probably rephrase the entire problem in terms of various
> -predict-s after each model (the wage regression, the regress to get
> the means, the -mlogit-). My guess would be that that is easiest to
> program / debug, but you'll just have to find out if that is true by
> trying it. That is programing: you use your intuition to guess what
> would be easiest and than you try it (and find out you were wrong...).
>
> If you insist on using matrices, than you can, but you need to worry
> about not mixing up the column numbers
>
> If you insist on using scalars, than you can, but you need to use
> -tempname-s in order to avoid conflicts with variable names.
>
> -- Maarten
>
> On Wed, Apr 11, 2012 at 2:56 PM, Chiara Mussida <cmussida@gmail.com> wrote:
>> 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/
>
>
>
> --
> --------------------------
> 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)
*
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