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RE: st: RE: identifying clusters with common elements

From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   RE: st: RE: identifying clusters with common elements
Date   Mon, 18 Jan 2010 14:52:29 -0000

Quite so. But the code I gave should indicate whether you can do that "by hand" in practice. 

[email protected] 

Dimitrije Tišma

This would be more helpful if I was only interested in which
individuals move. But, I am rather interested in information on the
household level, i.e. do the households A and B share same members in
the longitudinal perspective? If this is the case, then my goal would
be to consider these two households one "artificial household". I am
thinking of some nice loop, but haven't been able to do it properly
because number of household members varies from one HH to another.

2010/1/17 Nick Cox <[email protected]>:

> 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.

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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