Re: st: create a variable with estimated coefficients on dummies

["Bernini, Michele" <Michele.Bernini@unitn.it>]

Sorry for this follow-up. Nick's method resolves the problem except for the reshape part. Take the auto example. If the variable 'rep78' had three categories A, B, C, the command i.rep78 would have created three dummies and after the  command  "xi : statsby , by(foreign) : regress mpg i.rep78" I would have three columns :  "_b_Ir~78_A" , " _b_Ir~78_B", " _b_Ir~78_C". When I reshape long I would need A, B, C instead of "foreign" and "domestic" to be my the values assumed by my id variable (even if I need to run separate regressions for foreign and domestic).

Thanks in advance for your advices,

Michele


On 16 Aug 2012, at 06:31, Bernini, Michele wrote:

> Thanks a lot Nick for your suggestion. It works very well.
> On 15 Aug 2012, at 20:14, Nick Cox wrote:
> 
>> I wouldn't approach it this way. You can save the coefficients to a
>> different dataset
>> 
>> sysuse auto, clear
>> xi : statsby , by(foreign) : regress mpg i.rep78
>> reshape long _b_Irep78_ , i(foreign)
>> 
>> . l
>> 
>>    +--------------------------------------+
>>    |  foreign   _j   _b_Ir~78_    _b_cons |
>>    |--------------------------------------|
>> 1. | Domestic    2      -1.875         21 |
>> 2. | Domestic    3          -2         21 |
>> 3. | Domestic    4   -2.555556         21 |
>> 4. | Domestic    5          11         21 |
>> 5. |  Foreign    2           0   23.33333 |
>>    |--------------------------------------|
>> 6. |  Foreign    3           0   23.33333 |
>> 7. |  Foreign    4    1.555556   23.33333 |
>> 8. |  Foreign    5           3   23.33333 |
>>    +--------------------------------------+
>> 
>> and then (if I understand what you want) -merge- back to the original dataset.
>> 
>> On Wed, Aug 15, 2012 at 7:27 PM, Bernini, Michele
>> <Michele.Bernini@unitn.it> wrote:
>>> Dear Statalister,
>>> 
>>> I am programming a loop to execute  the following operations:
>>> 
>>> 1- estimate a regression on a big set of dummies (country-hs6 product categories)
>>> 
>>> 2-create a variable with the estimated coefficients on the dummies. For each observation (row) the value of this variable should correspond to the coeff. on the dummy that assumes value 1 for that observation.
>>> 
>>> I tried something like that:
>>> 
>>> gen ch=.
>>> levelsof hs4, local(lvl_hs4) \\ level at which I run separate regressions
>>> foreach element in `lvl_hs4'{
>>> xi: reg Y X i.CH i.t if hs4==`element'
>>> levelsof CH, local(clist)
>>> foreach c of local clist {
>>> replace ch = _b[_ICH_`c'] if CH == `c' \\ here I try to give the variable ch the value of the coefficients
>>> }
>>> }
>>> 
>>> my problem is that the local `clist' includes also the missing category of the dummies, so when it looks for _b[_ICH_`c'] where c = "missing category" the loop aborts. In either words I would either need the local `clist' to include only the dummies created from CH in each regression, or to find another way to do that. I also tried with svmat but then I cannot match coefficients on the new variable 'ch' with the observations with each category in the dummies.
>> 
>> *
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> 
> Michele Bernini
> Phd Candidate
> School of International Studies (SIS)
> University of Trento
> Via Verdi, 8/10 
> I-38122 Trento 
> Italy
> 
> Tel. +39 3491831687
> 
> 
> 
> 
> 
> *
> *   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/

Michele Bernini
Phd Candidate
School of International Studies (SIS)
University of Trento
Via Verdi, 8/10 
I-38122 Trento 
Italy

Tel. +39 3491831687





*
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*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/