--- Leonor Saravia <[email protected]> wrote:
> I understood that I'm having a problem with the interpretation of
> the coefficients, because I can't understand what's the meaning of
> each one of the coefficients obtained with this command.
>
> I'm working with some households surveys for latinamerican countries,
> so the data I'm using has the next variables:
>
> household_identifier income food_expenditure
> 123 1000 800
> 445 2980 1500
> 670 500 250
> . . .
> . . .
> . . .
> 870 15200 14000
>
>
> The model that I'd like to perform is this:
>
> income = a + b*(food_expenditure) + error
>
> And I need to compare the coefficients for each decil of income of
> the population of each country, something like comparing the
> coefficient for the food expenditure done by 10% of the poorest
> population and the richest 10% of the population.
>
> I think that the quantile regression is the way to do this, using the
> "sqreg" command, am I wrong?
>
> That's why I thought that I need 10 regressions instead of 9, because
> I need to compare the coefficients for each one of the 10th parts of
> the population.
In your model you are thinking that food expenditure causes income, I
would say that it is the other way round.
Anyhow, you are probably looking for something like this:
*-------- begin example ------------
sysuse nlsw88, clear
drop if missing(grade)
egen decile = cut(wage), group(10)
tabstat grade, by(decile) s(mean)
*--------- end example -------------
(For more on how to use examples I sent to the Statalist, see
http://home.fsw.vu.nl/m.buis/stata/exampleFAQ.html )
Here you see the mean grade (in your case food expenditure) for the 10%
poorest (coded 0), between 10-20% poorest (coded 1), etc.
Hope this helps,
Maarten
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
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