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RE: st: RE: how to create a HLM dataset


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: RE: how to create a HLM dataset
Date   Thu, 15 Sep 2005 10:21:39 +0100

-egen, seq()- could be useful for setting 
up a set of identifiers. It is of no use
for generating random counts, however 
defined. There is a fair chunk in the 
manual entry on -egen- on -seq()-. 

I don't know what random counts means in the 
abstract here without any specification
of a distribution. Alternatively, if by 
random you mean just "arbitrary" or "any
old numbers will do", then why not 
use a real dataset instead? 

Nick 
n.j.cox@durham.ac.uk 

Joseph Coveney replied to Min Zhang 

 
> I'm not sure how to set up random counts of counties-within-states and
> districts-within-counties using -egen , seq()-, but perhaps 
> the following
> might create the data structure that your'e looking for.
> 
> (I'm not sure whether school districts are always nested 
> within counties.
> In any event, I believe that you can get the actual rosters 
> of counties and
> of school districts--Nick's second suggestion--from the U.S. 
> Bureau of the
> Census.  Check the bureau's website in the SAIPE area:  
> "Small Area Income &
> Poverty Estimates--Model-based Estimates for States, Counties & School
> Districts.")

> set obs 50
> generate byte state_id = _n
> generate byte county_id = ceil(50 * uniform()) // 50 is arbitrary
> expand county_id
> bysort state_id: replace county_id = _n
> generate byte school_district_id = ceil(5 * uniform()) // 5 ditto
> expand school_district_id
> bysort state_id county_id: replace school_district_id = _n

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