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st: Advanced linear regression question (non constant random perturbationvariance)
From |
Guillermo Villa <[email protected]> |
To |
Guillermo Villa <[email protected]> |
Subject |
st: Advanced linear regression question (non constant random perturbationvariance) |
Date |
Wed, 28 Jun 2006 13:58:29 +0200 |
Dear statalisters,
I want to estimate a linear regression in which the variance of the
random perturbation is not constant. I do not want this variance to
depend on some explanatory variable, rather I have two types of
observations and each of this types should have its own constant variance.
My sample is divided in two parts (I = I1 + I2). Then, ei follows a
normal distribution with mean 0 and variance sigma1 if i belongs to I1
and ei follows a normal distribution with mean 0 and variance sigma2 if
i belongs to I2.
I suppose this model should be estimated using GLS, but I do not know
how to tell Stata that here the random perturbation variance is not
constant. Any idea?
Thanks.
G
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