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st: constructing a categorical gini measure

From   <>
To   <>
Subject   st: constructing a categorical gini measure
Date   Mon, 28 May 2012 09:41:45 +0100

Apparently you would like to measure inequality in "years of education",
but all that is observed is data grouped into categories. And you have
data on counties, not individuals.

On the first issue, you could first convert your categorical variables
to some "years of education" equivalent (your discipline and country
conventions may tell you how to do that).   But you're still then stuck
how to handle the grouping. On this see the discussion last week on the
list, and track back on previous Statalist discussion using Google.

A more fundamental question is: why calculate a Gini from these sorts of

Professor Stephen P. Jenkins <>
Department of Social Policy and STICERD
London School of Economics and Political Science
Houghton Street, London WC2A 2AE, UK
Tel: +44(0)20 7955 6527
Changing Fortunes: Income Mobility and Poverty Dynamics in Britain, OUP
Survival Analysis Using Stata:
Downloadable papers and software:


Date: Sun, 27 May 2012 16:13:12 +0000
From: "Tope, Daniel" <>
Subject: st: constructing a categorical gini measure

I would like to construct a county-level educational inequality gini
measure. I have categorical data on educational attainment for each
county. That is, I have the number and percentage of people in each
county that have reached each level of education.  

My 16 educational attainment categories are: NoSchool00; Less than 4
Years; 5-6 years; 7-8; 9th grade; 10th grade; 11th grade; 12th grade;
High School Grad; some college - less than one year; some college - more
than one year; Associates degree; Bachelors degree; Professional degree;
Masters degree; and Doctorate.  I assume that each category must be
converted into a years of schooling measure. 

Does anyone have any advice on how to construct such a gini measure for
each indivdual county?

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