st: Re: RE: Too small standard errors with QREG?

["Jeannette Wicks-Lim" <janetlim@econs.umass.edu>]

Thanks verymuch for these links. I'll send a post to tech support and share 
with the list when I get a response.
Take care,
J
----- Original Message ----- 
From: "Scott Merryman" <smerryman@kc.rr.com>
To: <statalist@hsphsun2.harvard.edu>
Sent: Thursday, March 10, 2005 11:42 AM
Subject: st: RE: Too small standard errors with QREG?



> You might find these two posts helpful:
>
> http://www.stata.com/statalist/archive/2003-02/msg00813.html
>
>
> http://www.stata.com/statalist/archive/2003-02/msg00869.html
>
> Scott
>
>
>
> > -----Original Message-----
> > From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-
> > statalist@hsphsun2.harvard.edu] On Behalf Of Jeannette Wicks-Lim
> > Sent: Thursday, March 10, 2005 10:10 AM
> > To: statalist@hsphsun2.harvard.edu
> > Subject: st: Too small standard errors with QREG?
> >
> > Hi,
> > I've estimated a quantile regression (QREG) which requires an iterative
> > process to minimize the sum of the absolute residuals. Something strange
> > happens with my results: the standard errors are extremly small (note 
> > that
> > the CI are points rather than ranges...). Does anyone have any thoughts
> > about why this might be happening? My model does have in it many 
> > variables
> > (lots of interaction terms) but I don't hink that should be a problem
> > given
> > the large sample size.
> >
> > Thanks in advance for any help!
> >
> > Below I've pasted some of the output:
> >
> > .9 Quantile regression                               Number of obs =
> > 422027
> >   Raw sum of deviations 66889.66 (about 2.5118887)
> >   Min sum of deviations  64818.5                     Pseudo R2     =
> > 0.0310
> >
> > --------------------------------------------------------------------------
> > ----
> >      lnrwage |      Coef.   Std. Err.      t    P>|t|     [95% Conf.
> > Interval]
> > -------------+------------------------------------------------------------
> > ----
> >     lnpmin1r |   .1971322   1.53e-15        .   0.000     .1971322
> > .1971322
> >    _Iyear_78 |   -.004403   3.95e-16        .
> > .000     -.004403    -.004403
> >    _Iyear_79 |   .0034332   4.48e-16        .   0.000     .0034332
> > .0034332
> >    _Iyear_80 |  -.0193586   5.30e-16        .
> > 0.000    -.0193586   -.0193586
> >    _Iyear_81 |   .0143617   3.49e-16        .   0.000     .0143617
> > .0143617
> >    _Iyear_83 |   .0150885   3.69e-16        .   0.000     .0150885
> > .0150885
> >    _Iyear_84 |   .0203746   4.08e-16        .   0.000     .0203746
> > .0203746
> >    _Iyear_85 |   .0300213   4.44e-16        .   0.000     .0300213
> > .0300213
> >    _Iyear_86 |   .0464875   4.63e-16        .   0.000     .0464875
> > .0464875
> >    _Iyear_87 |   .0385665   5.01e-16        .   0.000     .0385665
> > .0385665
> >    _Iyear_88 |   .0299613   5.33e-16        .   0.000     .0299613
> > .0299613
> >    _Iyear_89 |   .0426883   5.65e-16        .   0.000     .0426883
> > .0426883
> >    _Iyear_90 |   .0202615   5.32e-16        .   0.000     .0202615
> > .0202615
> >    _Iyear_91 |    .000379   4.67e-16        .   0.000      .000379
> > .000379
> >    _Iyear_92 |    .000173   4.68e-16        .   0.000      .000173
> > .000173
> >    _Iyear_93 |     .00088   5.00e-16        .   0.000       .00088
> > .00088
> >
> >
> > Jeannette Wicks-Lim
> > Department of Economics
> > University of Massachusetts, Amherst
> > (413) 577-0820
> >
> > *
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