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Re: st: difference in residuals
Looking at the resglm results I don't think they are the residuals but
the linear predictor. Did you correctly use -predict- here (the options
of predict after -glm- are different than those after -regress-).
Hope this helps,
Maarten
--- Cinzia Rienzo <[email protected]> wrote:
> Dear all,
>
> i am replicating a paper so i know the results i should get; the aim
> is
> to analyse the residual of a regression;
> the problem is that when i regress the following:
>
> glm lwage1 age educ educage educage2 educage3 educage4 [aw=hwt]
>
> i obtain the same results as the author exept for the variance gap of
>
> the 90-10 centile.
>
> When instead i regress the following:
> reg lwage1 age educ educage educage2 educage3 educage4 [aw=hwt]
> i get the same 90-10 gap centile but the other results are different.
>
> Both regressions give the same coefficient but the residual are
> different:
>
> Variable | Obs Mean Std. Dev. Min Max
> ------------+--------------------------------------------------------
> resols | 1761676 -.0012382 .454438 -2.421267 3.340183
> resglm | 1761676 1.77811 .3409537 .6651884 2.437594
>
> Could you please suggest me what could be the problem or is it
> methodologically not correct to work with the two regressions and
> therefore with the two residuals?
> Hope the problem is clear.
>
> Best
>
> Cinzia
> *
> * For searches and help try:
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>
-----------------------------------------
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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*
* For searches and help try:
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* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/