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Re: st: Gini coefficient, question


From   "Joao Ricardo F. Lima" <jricardofl@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Gini coefficient, question
Date   Thu, 13 Nov 2008 15:30:50 -0300

Dear Professor Stephen,

thanks for the explanation. I will see the Stas presentation at NASUG.

Best Regards,

Joao Lima

2008/11/13 Stephen P. Jenkins <stephenj@essex.ac.uk>:
> ------------------------------
>
> Date: Thu, 13 Nov 2008 01:26:05 -0300
> From: "Joao Ricardo F. Lima" <jricardofl@gmail.com>
> Subject: Re: st: Gini coefficient, question
>
> Dear lIya,
>
> I think you can use -svylorenz- or -ineqerr-.
>
> svylorenz:
> net describe svylorenz, from(http://fmwww.bc.edu/RePEc/bocode/s)
>
> Ineqerr:
> STB-51  sg115 . . . . . .  Bootstrap standard errors for indices of
> inequality
> <snip>
>
> HTH,
> Joao Lima
>
> 2008/11/12 Ilya [iso-8859-1] María Espino Cruz <ilyamaespino@udec.cl>:
>> Hellow!!
>> I have question regarding Gini coefficient, I have households survey
> of my
>> country, Chile named CASEN, so I want to calculate the Gini
> coefficient
>> weighted by population, and I want to calculate the Gini coefficient
> to
>> water subsidies, that is variable´s survey, that is to evaluate the
>> benefit targeting performance of consumer utility services (Komives,
>> 2005).I don´t know if "inequal" can be used to this calculate?
>>
>> Thanks,
>>
>> Ilya Espino.
>> University of Concepción, Chile
>
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
>
> Thanks for the -svylorenz- plug. Note that it produces not only a Gini
> estimate, but also an estimate of its standard error (using
> linearisation methods).  If Ilya does not require an estimate of the
> standard error -- she does not say -- then there are large number of
> programs that will yield it, even for weighted data (see recent
> Statalist posts). They include -ineqdeco- (or -ineqdec0-) by me, and
> -inequal7- by Philippe Van Kerm.   (My recollection is that -inequal-
> has problems; they motivated Philippe's -inequal7-).
>
> Be aware that -ineqerr-, from STB-51 and a version 5 program, (not
> authored by me) uses bootstrap methods to derive standard errors.
> However, if you have weighted data, plain vanilla bootstrap methods
> (as in -ineqerr-) do not necessarily produce estimates with all the
> desired properties.  Check out Stas Kolenikov's Statalist posts on
> this topic, and his recent presentation at NASUG.
>
>
> Stephen
> -------------------------------------------------------------
> Professor Stephen P. Jenkins <stephenj@essex.ac.uk>
> Director, Institute for Social and Economic Research
> University of Essex, Colchester CO4 3SQ, U.K.
> Tel: +44 1206 873374.  Fax: +44 1206 873151.
> http://www.iser.essex.ac.uk
> Survival Analysis using Stata:
> http://www.iser.essex.ac.uk/teaching/degree/stephenj/ec968/
> Downloadable papers and software: http://ideas.repec.org/e/pje7.html
>
> Learn about the UK's new household panel survey, "Understanding
> Society": http://www.understandingsociety.org.uk/
>
>
>
> *
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>



-- 
-------------------------------
Joao Ricardo Lima
Professor
UFPB-CCA-DCFS
+553138923914
-------------------------------

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