Thanks nick,
but with glm STATA does not allow : predict glm, resid!
I have to check
Thanks
cinzia
Nick Cox wrote:
>No, it is not correct. You want
>
>predict resglm, res
>
>as Maarten implied.
>
>Nick
>[email protected]
>
>Cinzia Rienzo
>
>> thanks Marteen,
>> for glm i used: predict resglm
>> for ols i use: predict resols, resid
>>
>> is this correct?
>> but when i use the predict of Glm i get (almost) the same result!
>
>Maarten buis wrote:
>
>> >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-).
>
>Cinzia Rienzo
>
>> >> 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?
>
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