-gllamm- has a capability of handling level-specific weights. If you
don't mind figuring out some multilevel modeling, you can then put
those weights, if there is some substantial difference between them.
There are however issues with the scaling of the weights at different
levels: while the HH level weights need to remain intact to enforce
the proper estimates of the population totals, the individual weights
can be scaled up or down, and there are arguments for different
scaling strategies to optimize the bias in the variance component
estimation.
On 8/2/06, Allen Glicksman <[email protected]> wrote:
I was wondering if there is any way to combine different types of weights in the same analysis. I have already contacted Stata and read the manuals, and am assuming the answer is no, but just in case I thought I would ask the list.
I have a couple of data sets that include individual and household variables. For example, in IPUMS (the individual level Census sample) there are individual level variables (country of birth) and household variables (linguistic isolation). There are separate weights for individual level variables and household level variables as well. If I wanted to use both variables in a regression analysis for example, is there a way of using the weights for each variable?
--
Stas Kolenikov
http://stas.kolenikov.name
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