st: Re: inequality indices, and decomposition by population subgroups

["?? ??" <nishimura-yukimitsu@ipss.go.jp>]

Many thanks to those who have answered to my question.
I really appreciate your advice.

Best regards
Yukimitsu Nishimura
----- Original Message ----- 
From: "Stephen P. Jenkins" <stephenj@essex.ac.uk>
To: <statalist@hsphsun2.harvard.edu>
Sent: Thursday, February 23, 2006 6:58 PM
Subject: st: inequality indices, and decomposition by population subgroups



> of logarithms
> > I'm guessing you want -ineqdeco- but try -findit inequality- to see
> > more options.
> >
> > > On 2/22/06, $B@>B<!!9,K~(B <nishimura-yukimitsu@ipss.go.jp> wrote:
> > > Statalist members,
> > >
> > > I am looking for a stata module to compute variance of logarithms on
> > > personal income.and to compute this inequality decompositions by
> subgroups.
> > > Or please show me how to do.
> > >
> > > Yukimitsu Nishimura
>
> Thanks for the plug, Austin. I am fairly confident in recommending
> -indecdeco- to Yukimitsu Nishimura (and others) for inequality index
> calculations with decompositions by population subgroup -- that is what
> it is designed to do.  Moreover, note that the variance of logarithms is
> usually deprecated as an inequality measure because it does not always
> satisfy the 'principle of transfers' axiom. (Contrast this with the
> generalised entropy class of measures, which both satisfies the axioms
> and is additively decomposable by population subgroup. See the
> references in the help file to -ineqdeco-. NB -ineqdeco- assumes all
> values are positive. If you wish to avoid this and allow zero values to
> be included, use -ineqdec0-.  Both programs available via -ssc-.)
>
> I note that many labour economists persist in using the variance of
> logarithms measure, despite what the inequality measurement literature
> recommends!  (Perhaps because labour economists typically estimate
> log(wage) equations.)
>
> > Date: Wed, 22 Feb 2006 09:41:29 -0300 (ART)
> > From: <irodriguez@utdt.edu>
> > Subject: Re: st: RE: Re: Help with Ineqdeco
> > I`m new and I don`t know what command ineqdeco do. But if someone are
> > looking a program for the gini I`ve one
> As others have recommended, use Stata tools to discover what particular
> programs do, and to find programs that do particular tasks. -findit
> <keyword> - is your friend!  So too is -search-
>
> For inequality measurement, there are a number of programs available,
> including -ineqdeco-, -ineqdec0-, and some nice programs by Philippe Van
> Kerm.  For poverty measurement, with decompositions, see e.g. -povdeco-.
>
> Philippe Van Kerm and I have also written -glcurve- for plotting
> (generalised) Lorenz curves and related graphs (e.g. TIP curves,
> concentration curves, etc.)
>
> If you wish to compute standard errors for the estimates ("variance
> estimation), you might take a bootstrap approach (some Stata programs
> are available).  But if you have weighted data, there are some
> potentially unresolved issues I think.
>
> Alternatively one can use a linearisation approach. -svygei- and
> -svyatk- (-ssc desc svygei_svyatk-) can be used for generalised entropy
> and Atkinson indices.  (With the subpop() option, you can get estimates
> for subgroups too.)   For the Gini coefficient and for the Lorenz curve,
> use -svylorenz- (also on SSC).  Each of the programs cited allows for
> complex survey designs.     [Another different approach to variance
> estimation for the Gini coefficient is taken by Roger Newson's -somersd-
> program, and explained in its accompanying documentation. IMHO
> -svylorenz- gets there more directly.]
>
>
> Stephen
> -------------------------------------------------------------
> Professor Stephen P. Jenkins <stephenj@essex.ac.uk>
> 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/
>
>
>
> *
> *   For searches and help try:
> *   http://www.stata.com/support/faqs/res/findit.html
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/ 
*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/