Hi all, my name is Bobby Berkowitz and I’m a researcher at a non-profit organisation in South Africa that focuses on financial inclusion. We work across many countries and historically have managed large-scale household surveys. These surveys typically use design weights for sampling and weighting data.
However, in pursuing sustainable data collection, we have an American service provider using stan to implement a structured MrP approach to modelling weights for household surveys across several countries.
A focus for my organisation is building capacity on the African continent. When it comes to structured MrP and stan, our targets would be academic institutions and national statistical bureaus.
From what I can tell, in this area (national statistical bodies implementing largescale household surveys, which traditionally covers social science and demography), there is little use and knowledge of Bayesian statistical methods and possibly zero stan use.
So inspired by recent post from @vianeylb and @martinmodrak, I’m looking for ideas, suggestions, connections and such for how to go about building practical capacity for implementing something as specific as structured MrP in the contexts we are focused on and for the applications we are using?