Hello - I’m looking at cross-sectional trends in food insecurity data. From 2001 to 2009, there are no replicate weights. Then there are 145 replicate weights from 2010-2013, then 160 for 2014 onward.
If I calculate trends asking STATA to use replicate weights when they’re only available for some years, the coefficient of variance balloons for those years without 160 replicate weights (understandably).
a) create my own brr replicate weights for 2001 to 2009? What would I do for 2010-2013?
or b) do my analysis without using the replicate weights? If that’s the case, would I just use Taylor linearized variance estimation? Is there something else I should put in the svyset command to control for the survey design? I understood that the replicate weights were a way of accounting for the strata / cluster design since we don’t have those variables