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From |
Nikhil Srivastava <nikhil.del85@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Randomly picking observations based on a certain condition |

Date |
Wed, 13 Apr 2011 14:02:12 -0700 |

I am not trying to actually sample households. As I wrote in my rely to Nick,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 1:06 PM, Joerg Luedicke <joerg.luedicke@gmail.com> wrote: > On Wed, Apr 13, 2011 at 3:17 PM, Nikhil Srivastava > <nikhil.del85@gmail.com> wrote: >> Hi, >> >> 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? >> >> I would really appreciate any help in this regard. Thanks > > Do I understand that right, you want to sample households, and within > each quintile of household expenditure, the number of household > members among sampled households is supposed to add up to 100? Why > would you do that? Why not just taking a random sample of households > or a stratified sample with respect to household size, if that is a > concern. That way, you would at least have a clear picture of the > population you are targeting, whereas in the other case, this picture > becomes pretty blurry, no? > > J. > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Randomly picking observations based on a certain condition***From:*Andrew Dyck <tempmail@andrewdyck.com>

**References**:**st: Randomly picking observations based on a certain condition***From:*Nikhil Srivastava <nikhil.del85@gmail.com>

**Re: st: Randomly picking observations based on a certain condition***From:*Joerg Luedicke <joerg.luedicke@gmail.com>

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