I'm working with IPUMS ACS and Census data in Stata. I'm interested in learning about income distributions and variability for specific subpopulations defined by education level, occupation, race and sex.
The survey data has probability weights, but I want to use commands that don't accept probability weights. They will accept frequency weights, though.
I want to estimate: Kernel density distribution Mean Coefficient of Variation Standard Deviation Percentiles
Can I just use frequency weights instead of probability weights? These seem to give me accurate point estimates for the mean, but standard errors that are too small.
Will that throw off the kernel density, standard deviation, and coefficient of variation?