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Found 2 papers, 2 papers with code
Treatment effect estimation with Multilevel Regression and Poststratification
Using MRP-style estimators, treatment effect estimates for areas as small as 1. 3$\%$ of the population have lower bias and variance than standard causal inference methods, even in the presence of treatment effect heterogeneity.
Causal Inference
Methodology
Improving multilevel regression and poststratification with structured priors
A central theme in the field of survey statistics is estimating population-level quantities through data coming from potentially non-representative samples of the population.
Methodology
