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

[Nidhi Parekh <nidhi.parekh@yale.edu>]

Dear Stephen,

Thank you for your reply. The problem is that there exists no unique
id number for the sets od annual data I have and hence I cannot
convert it to a time series data.

On Fri, Dec 14, 2012 at 4:58 AM,  <S.Jenkins@lse.ac.uk> wrote:
> 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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