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Re: st: RE: calculating proportions


From   Ekaterina Hertog <ekaterina.hertog@sociology.ox.ac.uk>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: RE: calculating proportions
Date   Mon, 20 Feb 2012 23:29:53 +0000

Hi Nick,
thank you for the advice. i looked at all the 3 packages you recommended and thought that relrank could do what I want, but having run it I realise that I am not sure how rank was calculated.
I used the following code:
relrank income if sex==1, ref(income if sex==2) g(rank)

My dataset contains 4132 women. 268 of them have income=0. That means that in case of a man whose income is 0(zero) 6.48% of women earn as little as he does. My new variable rank takes the value 0.0648 in this case, seemingly corresponding to the 6.48% of women whose income equals 0. However, if I look at different income level (say 500). 6% of all women earn 500, but the value of rank in this case is 0.93. I have looked at the help file, but am still no quite clear what is going on.
Ekaterina


On 20/02/2012 12:19, Nick Cox wrote:
Look at these modules on SSC:

relrank (Ben Jann)
invcdf (Ben Jann)
ppplot (Nick Cox)

Nick
n.j.cox@durham.ac.uk

Ekaterina Hertog

I use Stata 12. I have a dataset which includes id number, sex and
income information for every individual. I would like to construct for
every man 3 variables: what is the proportion of the total female
population that earns as much as he does, that earns less than he does,
and that earns more than he does. I have tried creating a table which
gives me frequencies of individuals by sex by income, but am getting
stuck at that stage.

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