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st: Advanced linear regression question (non constant random perturbationvariance)
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From | 
 
Guillermo Villa <[email protected]> | 
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To | 
 
Guillermo Villa <[email protected]> | 
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Subject | 
 
st: Advanced linear regression question (non constant random perturbationvariance) | 
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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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