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

 From "Supnithadnaporn, Anupit" To statalist@hsphsun2.harvard.edu Subject Re: st: Bootstrap: Which standard errors to use? Date Mon, 8 Dec 2008 14:12:35 -0500 (EST)

```----- "Stas Kolenikov" <skolenik@gmail.com> wrote:

> I'd be curious as to whether -logit ...,
> robust- standard errors would be close to the bootstrap ones, in your
> case.

I guess you mean the result from running -logit, robust- one time, right?
Would these SE seem to make sense to you at all?

Thank you,
Anupit

Logistic regression                               Number of obs   =        465
Wald chi2(16)   =      44.37
Prob > chi2     =     0.0002
Log pseudolikelihood = -73.949457                 Pseudo R2       =     0.2407

------------------------------------------------------------------------------
|               Robust
tresimp |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
indlninc |  -.2818828   .3751495    -0.75   0.452    -1.017162    .4533968
black |   1.184949   .5377806     2.20   0.028      .130918    2.238979
other |   .5112052   .6130217     0.83   0.404    -.6902953    1.712706
age |   .2291411   .0683818     3.35   0.001     .0951153    .3631669
lnodo |   .2668319   .3736896     0.71   0.475    -.4655863    .9992501
peuro |   .3441804   .8376832     0.41   0.681    -1.297648    1.986009
pasia |   .1141557   .6548303     0.17   0.862    -1.169288      1.3976
pother |   .1774283   .7830163     0.23   0.821    -1.357255    1.712112
displ |  -.0444871   .3161949    -0.14   0.888    -.6642178    .5752435
indefi |   .3926529   .6165853     0.64   0.524     -.815832    1.601138
indfi |  -.5801308   .6734173    -0.86   0.389    -1.900004    .7397428
indmfi |  -1.667607   1.093033    -1.53   0.127    -3.809912    .4746974
egr1 |  -1.307301   .5173223    -2.53   0.012    -2.321235   -.2933684
tac1 |  -.1766159   .7599367    -0.23   0.816    -1.666064    1.312833
car |  -1.189119   .8430763    -1.41   0.158    -2.841518    .4632803
van |  -1.120382   .9862894    -1.14   0.256    -3.053474    .8127092
_cons |  -3.180481   6.637172    -0.48   0.632     -16.1891    9.828137
------------------------------------------------------------------------------

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