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Re: st: Computing Quintiles with frequency weight

From   Nick Cox <[email protected]>
To   "[email protected]" <[email protected]>
Subject   Re: st: Computing Quintiles with frequency weight
Date   Fri, 5 Aug 2011 07:36:01 +0100

Usually the explanation for this variability is in ties in the data, so inspect your data carefully. Also, frequency weights imply ties unless all are 1.


On 5 Aug 2011, at 03:49, "Polloni Stefano" <[email protected]> wrote:


I am trying to observe comsumption patterns among the different income quintiles of a population. My sample contains 10 801 observations, each with a corresponding frequency weight so as to be representative of the whole population (about 30 million people).

I am using this command to compute my quintiles:

xtile quintile= hhinctot[fw=weight], n(5)
(hhinctot as the income variable)

After doublechecking, I realized that some of my quintiles contained substantially less or more than 20% of the observations (while effectively taking in consideration the frequency weight - i.e. as if I duplicated myself the observations according to their frequency)

this is the result I get:

Quintile 1: 20,406%
Quintile 2: 20,552%
Quintile 3: 19,239%
Quintile 4: 22,323%
Quintile 5: 17,479%

I can get more precise results by computing the quintile myself "manually", any idea why stata gets this far from 20%
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