Re: st: RE: calculating proportions

[Ekaterina Hertog <ekaterina.hertog@sociology.ox.ac.uk>]

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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