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st: finding quartiles of grouped/banded data

From   [email protected]
To   [email protected]
Subject   st: finding quartiles of grouped/banded data
Date   Mon, 27 Oct 2003 08:53:10 -0500 (EST)

I am trying to fit an appropriate distribution (perhaps a lognormal or
gamma or singh-madalla,...) to an income distribution (of counts) from the
US census.  Basicly I want to get the quartiles of the income distribution
for each census tract of my study area.  For example, census tract #1(a
row in your dataset) would have a count of the number of people in that
census tract with annual income of <$10,000 (a column), $10,000-$14,999
(another column), $15,000-$19,999 (another column), ect ect.  I have seen
a couple of programs that fit a distribution using micro data, but I have
not seen a program that fits a distribution using grouped/banded data like
the example above.  It seems to me that this would be a fairly common
problem associated with distributions from the census.  Does anyone know
of a program in stata that would do this so I can ultimately get the
quartiles from the fitted distribution?  I am guessing the program would
use the ML estimator in stata, but perhaps there is some type of kernal
estimation routine.

Thanks in advance,

Jaren Pope
[email protected]
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