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st: Re:RE: inequality measures, and dynamic decomposition of inequality


From   <S.Jenkins@lse.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Re:RE: inequality measures, and dynamic decomposition of inequality
Date   Fri, 14 Dec 2012 09:58:00 -0000

Not a direct answer to your question, but if I were doing what I think
you are trying to do, I would instead look at the -sgini- module written
by Philippe Van Kerm: see http://medim.ceps.lu/?id=software . Look at
the associated pdf documentation downloadable from the same place.

Stephen
------------------------------

Date: Thu, 13 Dec 2012 13:56:33 -0500
From: Nidhi Parekh <nidhi.parekh@yale.edu>
Subject: st: Re:RE: inequality measures, and dynamic decomposition of
inequality

Hi,

I am trying to run a dynamic (change in) ineqaulity distribution
analysis on Stata. I first used the 'descogini' command to run the
Gini decomposition by income source for year A and B. I am not sure
how to now extend this analysis to analyse the change in ineqaulity. I
read that I need to save the results of each year in a local macros
but I am unsure of

 - What results are to be saved. G_k?

 - Where does Stata save these results? Return list does not provide an
answer.

- - Once I save these results for both the years, do I just run
descogini on these two local macros?

 Commands Used:

descogini PCI Pension1 Pension2 Pension3 LabourIncome LabourIncome2
PvtTransfer rent TCT if p==0 (for 2004)
local 2004 = r(Gini) or G_k ??
descogini PCI Pension1 Pension2 Pension3 LabourIncome LabourIncome2
PvtTransfer rent TCT if p==1 (for 2009)
local 2009 =G_k
descogini 2004 2009
*


Stephen
-------------------------------------
Stephen P. Jenkins  <s.jenkins@lse.ac.uk>
Professor of Economic and Social Policy
Department of Social Policy 
London School of Economics and Political Science
Houghton Street, London WC2A 2AE, U.K.
Tel. +44 (0)20 7955 6527
Changing Fortunes: Income Mobility and Poverty Dynamics in Britain, OUP
2011, http://ukcatalogue.oup.com/product/9780199226436.do
Survival Analysis using Stata:
http://www.iser.essex.ac.uk/survival-analysis
Downloadable papers and software: http://ideas.repec.org/e/pje7.html

Please access the attached hyperlink for an important electronic communications disclaimer: http://lse.ac.uk/emailDisclaimer

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