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
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