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

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Quintiles |

Date |
Thu, 9 Aug 2012 10:16:23 +0200 |

On Wed, Aug 8, 2012 at 9:44 PM, Leonardo Jaime Gonzalez Allende wrote: > I don't was planning to cut a person or household in many parts. The question was about a possible adjustment to the weight factor, if the observation of the sample is the cut point of the quintile. > > If I sort the households of a sample by their incomes, a household "x" could represents 300 households but the accumulated frequency of the population is e.g. 20,02%. > > My question was if there is an efficient way (command) to repeat the observation and adjust weight factor as follow: > > the same household "xa" now represents 280 households and now the accumulated frequency of the population is e.g. 20% (exactly) (leaving to the first quintile). What kind of weight did you have in mind, aweigths, pweights, iweights, fweights? Weighting can be a remarkably tricky issue. There are many ways such a procedure could go wrong, and I don't know if there is way to get it right. Anyhow, I cannot imagine a situation where such an effort would be worth the cost (but that may just as well say something about a lack of imagination on my part). I would just live with the fact that the discrete nature of the number of observations leads to slight variations in group size. Did you look at the possibility that ties (different people reporting exactly the same income) are the source of differences in group size? In theory, such ties should be pretty rare for a (semi-)continuous variable like income. However, in practice respondents tend to round their answers, making such ties a lot more common. -- 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/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Quintiles***From:*Nick Cox <njcoxstata@gmail.com>

**References**:**st: One Step and 2 step GMM***From:*muneer <mkmmuneerbabu@gmail.com>

**st: xtreg check for outliers***From:*Dalhia <ggs_da@yahoo.com>

**st: RE: xtreg check for outliers***From:*"Jacobs, David" <jacobs.184@sociology.osu.edu>

**st: Quintiles***From:*Leonardo Jaime Gonzalez Allende <leonardo.gonzalez@ine.cl>

**Re: st: Quintiles***From:*Maarten Buis <maartenlbuis@gmail.com>

**Re: st: Quintiles***From:*Maarten Buis <maartenlbuis@gmail.com>

**RE: st: Quintiles***From:*Leonardo Jaime Gonzalez Allende <leonardo.gonzalez@ine.cl>

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