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neccessary
2002 Nov 14
1
analysis of data with observation weights
...sen by an interviewer (via "Kish grid"). To
equalize the probabilities for each INDIVIDUAL a casewise weighting factor is
introduced. It is proportional to the reciprocal of the number of adults in the
household and rescaled so it's sum equals the sample size. This weighting factor
is neccessery to perform inferences for population of individuals.
I had no problems with estimating models which use count data, because I could
construct contingency tables with something like:
tapply(weight, a.bunch.of.factors, sum)
Unfortunately I couldn't come up with a good way of building other kin...