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st: RE: hierarchical linear models

From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   st: RE: hierarchical linear models
Date   Tue, 14 Jun 2005 23:51:09 +0100

This posting intrudes a question into people's 
time and space, but the poster asks for
private assistance, all for the sake of boosting 
the poster's research proposal. 

Requests for private replies seem totally in order 
whenever people seek (1) job applications or (2) tenders 
for consultancy which will be rewarded financially, 
but not otherwise. Such searches are uncommon in 
practice on Statalist and not in total problematic. 

Whether people reply to this is clearly up to them, 
but in my view this posting violates the spirit of 
Statalist and I would be very sad if anyone took it 
as an acceptable precedent. 

[email protected] 

Rachel Bouvier

> I am working on a research proposal, looking at
> pollution emissions from fifteen firms in one state. 
> I have yearly data (from 1988 to 2003) for each of
> those fifteen firms.  I also want to look at the
> characteristics of the host community in which the
> firm is located.  Here are the problems: a) 15 is a
> small #, even if I augment it with yearly data. b)
> firm characteristics and c) community characteristics
> might not vary too much from year to year.  I'd like
> to do some sort of a regression, but I don't know if
> it's possible.
> Someone recommended that I look into hierarchical
> linear models, but I don't know if there would be
> enough variance to take advantage of an HLM.  All the
> examples that I've looked at have relatively large
> datasets.
> You may respond directly to me rather than positing: 
> [email protected].

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