Thanks to Kit Baum, there is now an updated version of -ineqfac- on
SSC. To get it:
ssc install ineqfac, replace
or use -adoupdate-. Description below.
The previous version was written for Stata version 5 (1999)! The
current version is 8.2, is rclass, and saves a number of results. In
addition to its advertised description, below, you might find it
useful if you wish to derive results, saved in r(), that contain the
means of each of a set of variables. See the help file.
TITLE
'INEQFAC': module to calculate inequality decomposition by
factor components
DESCRIPTION/AUTHOR(S)
ineqfac provides an exact decomposition of the inequality of
total income into inequality contributions from each of the
factor components of total income. ineqfac was designed as a
tool
for income distribution analysis in the case where the current
sample contains observations on income components for each of a
set of income receiving units (e.g. families, households,
persons). In this case, facvars might include labour income,
income from investments and pensions, cash transfers, etc. See
Shorrocks (1982b) and Jenkins (1995) for examples. ineqfac may
also be applied to summarise and compare the riskiness of
portfolios of wealth holdings: s_f, the "proportionate
contribution of factor f to total inequality", has exactly the
same form as the "beta coefficient" used in finance analysis.
Author: Stephen P. Jenkins, University of Essex
Support: email [email protected]
Distribution-Date: 20090331
INSTALLATION FILES (type net install
ineqfac)
ineqfac.ado
ineqfac.hlp
----------------------------------------------------------------------
--
(type -ssc install ineqfac- to install)
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/iser/teaching/module-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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