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From |
"Stephen P Jenkins" <stephenj@essex.ac.uk> |

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

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

Date |
Thu, 20 Nov 2003 08:47:25 -0000 |

Why do you need to convert the weights to integers? The -_pctile- and -kdensity- commands accept aweights, and aweights can be non-integer? Stephen > > -----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/ > * * 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:*Ramani Gunatilaka <Ramani.Gunatilaka@buseco.monash.edu.au>

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

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