Dear Statalisters,
Please assume xtmixed ,variance yields the following result.
------------------------------------------------------------------------------
Random-effects Parameters | Estimate Std. Err. [95% Conf. Interval]
-----------------------------+------------------------------------------------
Variable1: Identity |
var(_cons) | 100.000 70.000 54.22297 415.9787
-----------------------------+-----------------------------------------------
Variable2: Identity |
var(_cons) | 10.0000 6.000 4.254477 36.79754
-----------------------------+------------------------------------------------
var(Residual) | 400.000 40.000 397.8473 465.2598
------------------------------------------------------------------------------
Is it 'correct' to conclude that this estimated model yields a total
variance of 510 (100+10+400) and accordingly variable1 explains about
20% and variable 2% of the total model or is that a total
misinterpretation?
Thx a lot,
Chris
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