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 [email protected]
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(type -ssc install svylorenz- to install)
--
Professor Stephen P. Jenkins <[email protected]>
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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