st: Re: RE: -fastgini- new command to calculate the Gini coefficient with its jackknife standard error is available from SSC

["Zurab Sajaia" <zsajaia@hotmail.com>]

You're most welcome, Roger.

In light of recent discussions, I'll need to think of implementing jackknife 
for complex survey data as well. Any references?

Best,
Zurab


----- Original Message ----- 
From: "Newson, Roger B" <r.newson@imperial.ac.uk>
To: <statalist@hsphsun2.harvard.edu>
Sent: Friday, February 16, 2007 1:44 PM
Subject: st: RE: -fastgini- new command to calculate the Gini coefficient 
with its jackknife standard error is available from SSC



> Thanks to Zurab for pointing my attention towards the paper by
> Karagiannis and Kovacevic (referenced in their .hlp file) on jackknifing
> the Gini coefficient efficiently. I have archived a copy in my store of
> rank stats papers. Efficient jackknifing of rank statistics is one of my
> interests, too, and I have written a few papers on the subject,
> downloadable on my website (see my signature below).
>
> Best wishes
>
> Roger
>
>
> Roger Newson
> Lecturer in Medical Statistics
> Respiratory Epidemiology and Public Health Group
> National Heart and Lung Institute
> Imperial College London
> Royal Brompton campus
> Room 33, Emmanuel Kaye Building
> 1B Manresa Road
> London SW3 6LR
> UNITED KINGDOM
> Tel: +44 (0)20 7352 8121 ext 3381
> Fax: +44 (0)20 7351 8322
> Email: r.newson@imperial.ac.uk
> www.imperial.ac.uk/nhli/r.newson/
>
> Opinions expressed are those of the author, not of the institution.
>
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Zurab Sajaia
> Sent: 16 February 2007 15:41
> To: statalist
> Subject: st: -fastgini- new command to calculate the Gini coefficient
> with its jackknife standard error is available from SSC
>
> Dear All,
>
> Thanks to Kit Baum, a new command -fastgini- is available from SSC
> archives.
>
> Within Stata type:
>
> .ssc describe fastgini
>
>
> -fastgini- calculates the Gini coefficient for either unit-level or
> aggregated level data. Optionally it returns the jackknife estimates of
> the
> standard error.
> -fastgini- uses a fast optimized algorithm that could be especially
> useful
> when calculating the Gini coefficient and it's standard errors for the
> large
> samples.  The command implements algorithms for both exact and
> approximate
> calculation of the Gini coefficient.
>
> Hope you'll find it useful,
> Zurab
>
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