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st: New SSC module: -svylorenz- for inequality analysis


From   "Stephen P. Jenkins" <stephenj@essex.ac.uk>
To   statalist@hsphsun2.harvard.edu
Subject   st: New SSC module: -svylorenz- for inequality analysis
Date   Wed, 25 Jan 2006 15:04:29 +0000

Thanks to Kit Baum, a new module, -svylorenz-, is now available from SSC.

Now, not only you can estimate all of the most commonly-used inequality indices
(Gini coefficient, and members of the Atkinson and Generalised Entropy
families), but you can also derive asymptotic standard errors for them, while
allowing for complex survey data.

Use -svylorenz- for the Gini coefficient, and -svygei- and -svyatk- for the
other indices (-ssc install svygei_svyatk-). Data must be -svyset- first.

-svylorenz- also estimates quantile group shares of a total, and cumulative
group shares (i.e. Lorenz curve ordinates), and their associated SEs.  The
module can also be used to draw Lorenz curves, but you might prefer to use
-glcurve- on SSC for that.

TITLE
      'SVYLORENZ': module to derive distribution-free variance estimates from
complex survey data, of quantile group shares of a total, cumulative quantile
group shares

DESCRIPTION/AUTHOR(S)

      svylorenz computes distribution-free variance estimates for
      quantile group shares of a total, cumulative quantile  group
      shares, and the Gini coefficient, when estimated from complex
      survey data. Note that the Gini coefficient is calculated using
      all observations; it is not  derived by approximation from the
      income shares. svylorenz may also be used to draw Lorenz curves
      (but see also glcurve).

      KW: inequality
      KW: Gini coefficient
      KW: Lorenz
      KW: Lorenz curve

      Requires: Stata version 9

      Distribution-Date: 20060125

      Author: Stephen P. Jenkins, University of Essex
      Support: email stephenj@essex.ac.uk

----------------------------------------------------------------------------------------------------
(type -ssc install svylorenz- to install)




--
Professor Stephen P. Jenkins <stephenj@essex.ac.uk>
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
Survival Analysis using Stata:
http://www.iser.essex.ac.uk/teaching/degree/stephenj/ec968/

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