One of my students had a similar problem some weeks ago.
It seems (I am guessing from the info this student sent me) that, although
ineqdeco tells you that it won�t consider those individuals with zero
income, these zero incomes cause trouble in the estimation.
I haven�t had the time to take a look at the code to figure out what is
wrong.
Here is the info my student sent me
. use casen2000.dta, clear
. ineqdeco ymonehaj
Warning: ymonehaj has 391 values = 0. Not used in calculations
Percentile ratios for distribution of ymonehaj: all valid obs.
------------------------------------------------------------
p90/p10 p90/p50 p10/p50 p75/p25 p75/p50 p25/p50
------------------------------------------------------------
9.248 3.290 0.356 3.179 1.825 0.574
Generalized Entropy indices GE(a), where a = income difference
sensitivity parameter, and Gini coefficient
----------------------------------------------------------------------
All obs | GE(-1) GE(0) GE(1) GE(2) Gini
----------+-----------------------------------------------------------
0 |
----------------------------------------------------------------------
Atkinson indices, A(e), where e > 0 is the inequality aversion parameter
----------------------------------------------
All obs | A(0.5) A(1) A(2)
----------+-----------------------------------
| 0.23445 0.39357 0.66107
----------------------------------------------
. ineqdeco ymonehaj if ymonehaj>0
Percentile ratios for distribution of ymonehaj: all valid obs.
------------------------------------------------------------
p90/p10 p90/p50 p10/p50 p75/p25 p75/p50 p25/p50
------------------------------------------------------------
9.248 3.290 0.356 3.179 1.825 0.574
Generalized Entropy indices GE(a), where a = income difference
sensitivity parameter, and Gini coefficient
----------------------------------------------------------------------
All obs | GE(-1) GE(0) GE(1) GE(2) Gini
----------+-----------------------------------------------------------
0 |
----------------------------------------------------------------------
Atkinson indices, A(e), where e > 0 is the inequality aversion parameter
----------------------------------------------
All obs | A(0.5) A(1) A(2)
----------+-----------------------------------
| 0.23445 0.39357 0.66107
----------------------------------------------
. drop if ymonehaj==0
(391 observations deleted)
. ineqdeco ymonehaj
Percentile ratios for distribution of ymonehaj: all valid obs.
------------------------------------------------------------
p90/p10 p90/p50 p10/p50 p75/p25 p75/p50 p25/p50
------------------------------------------------------------
9.248 3.290 0.356 3.179 1.825 0.574
Generalized Entropy indices GE(a), where a = income difference
sensitivity parameter, and Gini coefficient
----------------------------------------------------------------------
All obs | GE(-1) GE(0) GE(1) GE(2) Gini
----------+-----------------------------------------------------------
| 0.97523 0.50017 0.59582 1.85478 0.52417
----------------------------------------------------------------------
Atkinson indices, A(e), where e > 0 is the inequality aversion parameter
----------------------------------------------
All obs | A(0.5) A(1) A(2)
----------+-----------------------------------
| 0.23445 0.39357 0.66107
----------------------------------------------
--------------------------------------------------------------------------
Profesor Asistente, Universidad Alberto Hurtado
Professorial Lecturer, Georgetown University
Erasmo Escala 1835, Santiago (Chile)
Phone: 692-0267
Fax: 692-0303
http://www.ilades.cl/economia/index.html
----- Original Message -----
From: "Emma Samman" <[email protected]>
To: <[email protected]>
Sent: Wednesday, April 30, 2003 6:22 AM
Subject: st: problems with using ineqdeco to calculate inequality measures
> I wondered if any ineqdeco users could help with the following problems:
>
> I have some large household survey-based datasets (about 55,000
> observations unweighted, 5 million weighted). These data are broken down
> into 52 subgroups, and designed to be representative at the level of
> each subgroup.
>
> When running ineqdeco 2 unexpected things occur:
>
> 1. it refuses to calculate General Entropy measures for the dataset
> taken as a whole (though it does so for between and within group
> components). When I don't specify any decomposition, it still will not
> calculate measures for dataset as a whole (though inequal7, for
> instance, will).
>
> 2. it leaves out several subgroups in carrying out the decompositions -
> (about 15 to 17, depending on the dataset used) - and I can't seem to
> find any systematic reason for this (the sizes of the subgroups omitted
> are equal to those included weighted or unweighted). The same problem
> occurs when the program is run with and without weights.
>
> I would be very grateful for any advice.
>
> Thank you very much in advance.
>
> Best wishes,
> Emma Samman
>
>
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
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* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
