------------------------------
Date: Thu, 13 Nov 2008 01:26:05 -0300
From: "Joao Ricardo F. Lima" <[email protected]>
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 <[email protected]>:
> 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 <[email protected]>
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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