Dear Statalist:

This is a bit of a longshot, but I was wondering if anyone had good references for state-of-the-art weighting methodology when you're analyzing multiple surveys in the same regression model. For example, if three different organizations ran the exact same survey questions. Or if you had three different longitudinal cohorts (like different iterations of the NLS, or ELS, or something like that) with measures that were comparable. The closest thing I've found so far is a working paper by Anna-Carolina Haensch and Bernd Weiss here: https://osf.io/preprints/socarxiv/edm3v/download. If you've got different ideas, I'd love to hear them.

If anyone has examples of how one might do this in Stata, that would make it even better. I'm guessing that the -svy- command is going to have what I need, potentially with poststratification, but the example given is for calculating means so it's hard for me to judge. Or perhaps some sort of method for composite weighting, as described here? https://www.stat.fi/isi99/proceeding...o/kalt0185.pdf

Thanks so much in advance your thoughts, ideas, and help,
Jonathan