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From |
Maarten Buis <maartenlbuis@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: random samples within each of 1,152 categories |

Date |
Wed, 8 May 2013 10:00:38 +0200 |

On Wed, May 8, 2013 at 3:18 AM, Olga Gorbachev wrote: > for each cell, I need to compute a fraction of not working females. I > generated the needed fraction (swr), like this: <snip> > I then generated categories/cells using group command: > > egen x=group(ed wife nokid white year) > > this gave me 1,152 groups. > > Thus, for each x I have a number given by swr that tells me what > percentage I want to sample. So for x=1, swr=43.2 > > Thus, I'd like to 'designate' randomly for x=1 if work=1 43.2% of > females to be not working. And I'd like to do this for each x. See: M.L. Buis (2007), "Stata tip 48: Discrete uses for uniform()", The Stata Journal, 7(3), pp. 434-435. <http://www.stata-journal.com/article.html?article=pr0032> Here is an example that applies that logic to your problem: *------------------ begin example ------------------ // data preparation sysuse nlsw88, clear gen byte occat = cond(occupation < 3 , 1, /// cond(inlist(occupation, 5, 6, 8, 13), 2, 3)) /// if occupation < . label variable occat "occupation in categories" label define occat 1 "high" /// 2 "middle" /// 3 "low" label value occat occat gen byte edcat = cond(grade < 12, 1, /// cond(grade == 12, 2, 3)) /// if grade < . label define edcat 1 "less than high school" /// 2 "high school" /// 3 "more than high school" label value edcat edcat label variable edcat "education in categories" // define the sample gen byte touse = !missing(race, edcat, occat, married) // create the group indicator egen group = group(race edcat occat) if touse // create the proportion of married women per group bys group : egen p = mean(married) if touse // sample a new married variable gen byte married_sim = runiform() < p if touse *------------------- end example ------------------- (For more on examples I sent to the Statalist see: http://www.maartenbuis.nl/example_faq ) Hope this helps, Maarten --------------------------------- Maarten L. Buis WZB Reichpietschufer 50 10785 Berlin Germany http://www.maartenbuis.nl --------------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**References**:**st: random samples within each of 1,152 categories***From:*Olga Gorbachev <olga.gorbachev@gmail.com>

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