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Re: st: Re: Re: gini from grouped data


From   <[email protected]>
To   <[email protected]>
Subject   Re: st: Re: Re: gini from grouped data
Date   Thu, 30 Jan 2003 20:10:26 -0300 (UYT)

Dear friends,
Thank you for your comments.
Maximo
> On Thu, 30 Jan 2003 05:49:14 -0600 Scott Merryman <[email protected]>
>  wrote:
>
>> > ------------------------------
>> >
>> > Date: Tue, 28 Jan 2003 11:37:02 -0600
>> > From: "Mito" <[email protected]>
>> > Subject: st: gini from grouped data
>> >
>> > Dear friends,
>> > is there an ado file for the estimation gini from grouped data?
>> > thanks,
>> > Maximo
>>
>>
>> Dr. Martin Biewen has an ado file for the "Bootstrap for inequality
>> decomposition by subgroup" avaiable at
>> http://www.uni-
heidelberg.de/institute/fak18/institutes/awi/ls_schmidt/cv_bie/st
>> ata.html
>>
>> It computes additive decompositions of MLD and Theil by subgroup and
>> appropriate bootstrap confidence intervals.
>
>
> IMHO Scott's suggestion is not what was originally asked for, namely a
> program for calculating inequality indices from grouped data (i.e. you
> know category boundaries and the numbers of obs with incomes falling
> within the categories, and maybe some category means).
> Martin's program, like my -ineqdeco-, uses micro-data (unit record
> data), allowing decompositions by /population/ subgroup.
> As Philippe Van Kerm suggested, you can use any of the microdata
> inequality estimation programs around (his, mine, ...)  to calculate
> inequality measures from grouped data (using frequency weight options),
>  at the cost of under-estimating inequality ... you will be assuming
> equality within income categories.
> For a review of ways to do better, I recommend /Measuring Inequality/,
> second edition, by Frank A Cowell, and the references therein
> (including Cowell and Mehta, Review of Economic Studies, 1983?)
>
> Stephen
> ----------------------
> Professor Stephen P. Jenkins <[email protected]>
> Institute for Social and Economic Research (ISER)
> University of Essex, Colchester, CO4 3SQ, UK
> Tel: +44 (0)1206 873374. Fax: +44 (0)1206 873151.
> http://www.iser.essex.ac.uk
>
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