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st: RE: identifying clusters with common elements

From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   st: RE: identifying clusters with common elements
Date   Sun, 17 Jan 2010 17:22:01 -0000

It is fairly easy to identify which individuals have belonged to two or more households. 

That is 

bysort person (household) : 
	gen byte changed_hh = household[_N] != household[1] 

How do I list observations in a group that differ on a variable?

Then you can identify 

levelsof household if changed_hh 

That sounds like part of your problem. 

[email protected] 

Dimitrije Tišma

I am doing a multilevel analysis in Stata (persons | households) but,
this being longitudinal data, some persons switch to other households
at some point, so some clusters (i.e. households) have common elements
(i.e. same id number belonging to different households in different
years). I was wondering what would be the most efficient way (loop?)
to identify whether two clusters have common elements. 

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