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Re: st: Bootstrap: Which standard errors to use?


From   "Supnithadnaporn, Anupit" <gtg065t@mail.gatech.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Bootstrap: Which standard errors to use?
Date   Mon, 8 Dec 2008 15:01:55 -0500 (EST)

----- "Stas Kolenikov" <skolenik@gmail.com> wrote:
> How about the -oim- standard errors
> without
> the -robust- option?
> 

As you requested. What would -oim- stand for?

Thank you,

Anupit



Logistic regression                               Number of obs   =        465
                                                  LR chi2(16)     =      46.89
                                                  Prob > chi2     =     0.0001
Log likelihood = -73.949457                       Pseudo R2       =     0.2407

------------------------------------------------------------------------------
     tresimp |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    indlninc |  -.2818828   .3439042    -0.82   0.412    -.9559228    .3921571
       black |   1.184949   .5615598     2.11   0.035     .0843117    2.285586
       other |   .5112052   .6401804     0.80   0.425    -.7435253    1.765936
         age |   .2291411   .0710728     3.22   0.001      .089841    .3684412
       lnodo |   .2668319   .3439181     0.78   0.438    -.4072352     .940899
       peuro |   .3441804    .896089     0.38   0.701    -1.412122    2.100483
       pasia |   .1141557   .6634897     0.17   0.863     -1.18626    1.414572
      pother |   .1774283   .8487587     0.21   0.834    -1.486108    1.840965
       displ |  -.0444871   .2766297    -0.16   0.872    -.5866715    .4976972
      indefi |   .3926529   .6296414     0.62   0.533    -.8414216    1.626727
       indfi |  -.5801308   .6346339    -0.91   0.361     -1.82399    .6637289
      indmfi |  -1.667607   1.121463    -1.49   0.137    -3.865634    .5304192
        egr1 |  -1.307301   .5190509    -2.52   0.012    -2.324623   -.2899803
        tac1 |  -.1766159   .7663102    -0.23   0.818    -1.678556    1.325324
         car |  -1.189119   .8525678    -1.39   0.163    -2.860121    .4818834
         van |  -1.120382   .9176824    -1.22   0.222    -2.919007    .6782421
       _cons |  -3.180481   5.519478    -0.58   0.564    -13.99846    7.637497
------------------------------------------------------------------------------


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