Creating longitudinal weights
I'm doing analysis using harmonised BHPS and USoc to look at the impact of tax / benefit policy over several years. I would like to include in the final sample people who are in the survey for most, but not necessarily all, waves (e.g. include those who are present for at least 20 out of the 25 waves). For those who attrit, these people don't have longitudinal weights so I need to design my own.
I have been trying to replicate the BHPS/USoc longitudinal weights first, and then after that am planning on doing a similar exercise for people in most but not all waves. However, I‘ve been unable to get particularly close to the longitudinal weights in the data. I am using the CHAID process and post stratifying the data.
1: Do you have more information on how the longitudinal weights are constructed? E.g. what predictor variables are used?
2: Do you think this is the best way to proceed? An alternative approach – which has been discussed in other forum posts - would be to fit a model (e.g. logit) and adjust the cross-sectional weights accordingly.