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# Re: st: efficient way to use local

 From Rodrigo Briceño To statalist@hsphsun2.harvard.edu Subject Re: st: efficient way to use local Date Mon, 25 Feb 2013 14:35:16 -0600

```Thanks to Daniel Klein and Rebeca Pope for their insights. By
efficient I mean with the shorter amount of lines of code, since I
have to continue my programming routine for these 4 regressions with
Thanks again!

2013/2/25 daniel klein <klein.daniel.81@gmail.com>:
> It is not clear to me, what is meant by "efficient" here, but these
> five lines of code are the most efficient way in terms of characters
> typed, that I can come up with
>
> forv j = 1/2 {
>         loc `j' reg il`j't pmv`j't dr1 dr2 dpl`j't
>         ``j'' if (mon == 1)
>         ``j'' if (mon == 2)
> }
>
> Of course, the three minutes I needed to figure this out would have
> been sufficent to just type the four -regress- commands you want to
> run ...
>
> Best
> Daniel
> --
> Dear Stata users. I am dealing with a dataset that has two slightly
> sets of explanatory and dependent variables. The sets are defined by
> having a 1 or 2 number inside their names and also a 1 or 2 number
> inside the values of one of the variables. My dependents are il1t and
> il2t. The values on the variable mon are 1 and 2. So in total my
> output is composed by 4 regressions (one for each 1 and 2t, and one
> for each mon value).
>
> I tried to do the following:
>
> local X1 "mc pmv1t dr1 dr2 dpl1t"
> local X2 "mc pmv2t dr1 dr2 dpl2t"
>
>         forvalues i= 1 2{
>
>         regress il`i't `X`i' if mon=`i'
> }
>
> but I got the error: invalid syntax r(198). I am not sure if you can
> use a local inside a local as I expressed on `X`i'
>
>
> Any help is fully appreciated.
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
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> *   http://www.ats.ucla.edu/stat/stata/

--
Rodrigo Briceño
Economist
rjbriceno@gmail.com
SKYPE: rbriceno1087

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/
```