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Re: st: How to control for non-independence?


From   David Greenberg <[email protected]>
To   [email protected]
Subject   Re: st: How to control for non-independence?
Date   Fri, 22 Dec 2006 23:19:54 -0500

If the influence of the market is the same for all investors, it will
simply contribute to the constant term in your cross-sectional
regression. It won't create correlations among the residuals, and
consequently you don't need to do anything about it. 
   David Greenberg, Sociology Department, New York University

----- Original Message -----
From: Alok Kumar <[email protected]>
Date: Friday, December 22, 2006 1:50 pm
Subject: st: How to control for non-independence?

> Hi Guys,
> 
> I am trying to estimate a cross-sectional regression where the 
> observationsare not independent.  I have the performance of a large 
> number of investors
> as the dependent variable and various investor characteristics 
> (Age, Income,
> Gender, etc.) are independent variables.  Because the performance 
> of ALL
> investors would be influenced by the market, the performance 
> measures are
> correlated.
> 
> How can I estimate the cross-sectional regression, where I can 
> control for
> this potential non-independence?  I don't think the "robust" option 
> takesinto account this cross-sectional dependence.  The "cluster" 
> option might
> take care of this but I don't know how the performance might be 
> clustered.Is there any way of taking care of this problem in Stata?
> 
> Thanks very much for your help.
> Regards, Alok
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