Re: st: RE: Randomly picking observations based on a certain condition

[Nikhil Srivastava <nikhil.del85@gmail.com>]

Sorry for not making my problem more clear. Actually I am trying look
at the effectiveness of a transfer program targeted to adults of a
household which has a certain exclusion error. The exclusion error
that we are assuming is that 1 percent of eligible participants within
each expenditure quintile do not receive the benefits. In my sample
within the first quintile 1 percent of the total adults comes to
around 100. Thus for the first quintile I need to randomly assign
non-beneficiary status to households so that the total number of
adults for these households comes to 100. Similarly I have to pick
randomly 1 percent of adults for each quintile and assign them
non-beneficiary status. In my previous mail I used the number 100 as
an example. Thanks

Nikhil

On Wed, Apr 13, 2011 at 12:49 PM, Nick Cox <n.j.cox@durham.ac.uk> wrote:
> This doesn't strike me as a precise specification. Would you be satisfied with the first random sample of 100 from the whole that includes observations from each quintile?
>
> Why sample any way? Why divide into quintiles?
>
> Nick
> n.j.cox@durham.ac.uk
>
> Nikhil Srivastava
>
> I have a dataset at the household level which contains the expenditure
> details of a sample of households. The dataset also records the number
> of adults within each household. I have divided this dataset into 5
> quintiles based on the level of expenditure. Now I need to randomly
> select a set of observations within each quintile so that the sum of
> the adults for those observations comes to 100. Could somebody please
> help me in writing a code for this part?
>
>
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