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From |
"Kieran McCaul" <kieran@dph.uwa.edu.au> |

To |
<statalist@hsphsun2.harvard.edu> |

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

Date |
Thu, 20 Nov 2003 12:44:35 +0800 |

gen freq=round(hhsize*w*100) > -----Original Message----- > From: owner-statalist@hsphsun2.harvard.edu > [mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of Ramani > Gunatilaka > Sent: Thursday, 20 November 2003 10:42 AM > To: statalist@hsphsun2.harvard.edu > Subject: Re: st: converting non-integer weights into integer weights > > > 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/ > > * * 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:*"Stephen P Jenkins" <stephenj@essex.ac.uk>

**References**:**Re: st: converting non-integer weights into integer weights***From:*Ramani Gunatilaka <Ramani.Gunatilaka@buseco.monash.edu.au>

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