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st: RE: St: Inequality measures


From   philippe van kerm <philippe.vankerm@ceps.lu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: RE: St: Inequality measures
Date   Fri, 26 Sep 2008 14:44:13 +0200

Some suggestions were made here:

http://www.statacorp.com/statalist/archive/2003-01/msg00693.html

http://www.statacorp.com/statalist/archive/2003-01/msg00695.html

I do not think the situation changed much since then -- I am not aware of a program for estimating inequality measures from grouped data specifically, or for fitting parametric distributions from grouped data (from which you could derive Gini estimates). Commands designed for use with unit-record data will assume equality within the income groups and therefore underestimate total inequality.

Philippe


> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-
> statalist@hsphsun2.harvard.edu] On Behalf Of Eric Uslaner
> Sent: Thursday, September 25, 2008 8:52 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: st: St: Inequality measures
>
> Hi,
>
> I have downloaded data on income categories over time by country.  The
> categories are 9 deciles and then the top two quintiles.  I have looked
> at various measures of inequality--and their associated help files--but
> I still can't figure out how to create a Gini index from these 11
> variables (income categories).  Any suggestions would be appreciated.
>
> Thanks,
>
> Ric Uslaner
>
>
>
>
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