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From |
Ramani Gunatilaka <Ramani.Gunatilaka@buseco.monash.edu.au> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: converting non-integer weights into integer weights |

Date |
Thu, 20 Nov 2003 02:42:08 +0000 |

Hi all, I am sorry to bug you with this problem again but the solution that Branko very kindly suggested didn't work for me. To recap briefly, I need to use weights with the _pctile and kdensity commands. But mine are non-integer weights (for an example see my first mail below) and even though I multiplied the weights by 100 as Branko suggested (since they have only two decimal places) I get an error as follows: use c:\data95\hhcons95, clear . keep x hhsize w . gen freq=hhsize*w*100 . _pctile x [fweight=freq], percentiles(5,10,15,20,25,30,35,40,45,50,55,60,65,7 > 0,75,80,85,90,95,99) may not use noninteger frequency weights r(401); I have a hunch that multiplying the original weight by 100 made it too long to be stored as an integer. The largest transformed weight then becomes 7 digits. Would anybody have any ideas on this? Thanks so much, Ramani Bmilanovic@worldbank.org wrote: > Ramani, > > why don;t you multiply the weights by a hundred (or whatever; a > thousand), > and then create integers. kdensity should work then. > > best, branko > > > > > IMPORTANTISSIMO!!! > From around October 15, 2003 my new > Email address will be > bmilanovic@ceip.org > > > ALL ABOUT INEQUALITY IN THE WORLD (AND MORE!) > http://www.worldbank.org/research/inequality/ > > > > > > Ramani Gunatilaka > <Ramani.Gunatilaka@buseco.mon To: > ash.edu.au> Statalist@Hsphsun2.Harvard.Edu > Sent by: cc: > owner-statalist@hsphsun2.harv Subject: st: Use of Weights in Kernel > Density Estimation > ard.edu > > > 11/16/2003 09:11 AM > Please respond to statalist > > > > > > > > > Hi all, > I hope there maybe someone out there who may be able to help me with this > query. > I have a household level data set of roughly 19,000 households with the > following variables: per capita consumption in rupees (x), population > weights > (w) and household size (hhsize) as in the sample below (I'm sorry the > column > heads are not aligned). > > x w hhsize > 204.4059 176.45 3 > 402.0174 119.22 6 > 218.7155 51.84 8 > 1083.199 1266.73 6 > 303.6877 169.54 3 > > The weights represent the number of households in the entire population > that > each particular household represents. > > I need to estimate the kernel density of the consumption distribution and > have > consulted Stata's kdensity function as well as the akdensity module > developed by > Van Kerm. Both permit the use of weights, but only of fweights and > aweights. But > while the weights in my data set are frequency weights, they are > certainly not > integers as required by Stata. > > Would someone know how I may get round this problem? I'd rather use the > kdensity > or akdensity commands and not have to write up a programme from scratch. > > Thanks so much, > Ramani > * > * For searches and help try: > * http://www.stata.com/support/faqs/res/findit.html > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > > > > > > > * > * For searches and help try: > * http://www.stata.com/support/faqs/res/findit.html > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**RE: st: converting non-integer weights into integer weights***From:*"Kieran McCaul" <kieran@dph.uwa.edu.au>

**References**:**Re: st: Use of Weights in Kernel Density Estimation***From:*Bmilanovic@worldbank.org

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