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@BernStZi, thanks a lot for this explanation! However I do not fully agree with you regarding the design weights. What I have learned and I have always assumed is that designs weights are derived directly from the sampling probabilities. Namely, dweight
should be equal to 1 / prob
. The name of those weights indicates that those weights are purely derived from the sample design.
I agree that design weights can not be applied in case of non-response. Well, you can, but better results can be gained by applying the so called non-response corrections on weights. This is a usual practice. However, those corrected weights cannot be called design weights, as they are derived taking into account extra information which is more than sampling design is providing.
Originally posted by @djhurio in #9 (comment)