Dear Statalist,
using a textbook example on birthweight I estimated the following
model: xtmixed birwt ||: momid:, variance
yielding
------------------------------------------------------------------------------
birwt | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_cons | 3467.969 7.138554 485.81 0.000 3453.977 3481.96
------------------------------------------------------------------------------
------------------------------------------------------------------------------
Random-effects Parameters | Estimate Std. Err. [95% Conf. Interval]
-----------------------------+------------------------------------------------
momid: Identity |
var(_cons) | 135686 4755.874 126677.6 145335
-----------------------------+------------------------------------------------
var(Residual) | 142625.4 2965.965 136929.1 148558.7
------------------------------------------------------------------------------
LR test vs. linear regression: chibar2(01) = 1316.12 Prob >= chibar2 = 0.0000
with "di _b[_cons]" I can display (and thus process) the estimated
coefficient of birwt. However, I would like to process the estimated
variance components of the random intercept (i.e. var(_cons) and
var(Residual).
How can adress these values?
Best,
Chris
Viele Grüße
Christian
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