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Re: st: constructing a categorical gini measure


From   Austin Nichols <austinnichols@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: constructing a categorical gini measure
Date   Wed, 30 May 2012 11:13:29 -0400

"Tope, Daniel" <dtope@fsu.edu>:
Also note that if you are willing to assume the population
distribution of education is drawn from a known family of
distributions you can estimate parameters that pin down Gini etc.
See e.g.
http://fmwww.bc.edu/repec/bocode/d/dagfit.html
and references.

On Mon, May 28, 2012 at 4:41 AM,  <S.Jenkins@lse.ac.uk> wrote:
> 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
> data?
>
> Stephen
> ------------------
> Professor Stephen P. Jenkins <s.jenkins@lse.ac.uk>
> 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
> 2011, http://ukcatalogue.oup.com/product/9780199226436.do
> Survival Analysis Using Stata:
> http://www.iser.essex.ac.uk/survival-analysis
> Downloadable papers and software: http://ideas.repec.org/e/pje7.html
>
> ------------------------------
>
> Date: Sun, 27 May 2012 16:13:12 +0000
> From: "Tope, Daniel" <dtope@fsu.edu>
> 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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