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st: Bootstrap: Which standard errors to use?
From |
"Supnithadnaporn, Anupit" <[email protected]> |
To |
statalist <[email protected]> |
Subject |
st: Bootstrap: Which standard errors to use? |
Date |
Sun, 7 Dec 2008 23:34:05 -0500 (EST) |
Dear all,
I am using bootstrap in my study and Stata reports 2 types of standard errors
of beta: (1) bootstrap std. err. right to the observed coef. and (2) se shown in
the second part of the table. They are quite different. How does Stata calculate
both of these SEs? Which one would be better to use?
Would anybody please explain or suggest?
Thank you
Anupit
. local vehicle age lnodo peuro pasia pother
. local owner black other
. set seed 9999
. bootstrap _b _se, reps(10000) saving("C:\data\logitBOOT2Abse.dta", replace): ///
logit tresimp indlninc `owner' `vehicle', robust
Logistic regression Number of obs = 465
Replications = 4899
------------------------------------------------------------------------------
| Observed Bootstrap Normal-based
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
b |
indlninc | -.2818828 .4831361 -0.58 0.560 -1.228812 .6650466
black | 1.184949 .6092399 1.94 0.052 -.0091396 2.379037
other | .5112052 .73946 0.69 0.489 -.9381097 1.96052
age | .2291411 .091903 2.49 0.013 .0490146 .4092677
lnodo | .2668319 .5548409 0.48 0.631 -.8206363 1.3543
peuro | .3441804 .9544531 0.36 0.718 -1.526513 2.214874
pasia | .1141557 .7772255 0.15 0.883 -1.409178 1.63749
pother | .1774283 .7139723 0.25 0.804 -1.221932 1.576788
-------------+----------------------------------------------------------------
se |
indlninc | .3751495 .1164555 3.22 0.001 .1469009 .6033982
black | .5377806 .1174539 4.58 0.000 .3075752 .7679861
other | .6130217 .1737154 3.53 0.000 .2725458 .9534977
age | .0683818 .0179438 3.81 0.000 .0332126 .1035509
lnodo | .3736896 .1584534 2.36 0.018 .0631266 .6842526
peuro | .8376832 .242609 3.45 0.001 .3621782 1.313188
pasia | .6548303 .1592494 4.11 0.000 .3427073 .9669534
pother | .7830163 .2246008 3.49 0.000 .3428068 1.223226
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