Examining the Structure of Spatial Health Effects using Hierarchical Bayes Models
Leibniz Seminar für Arbeitsmarktforschung (BeNA)
Abstract: This paper makes use of Hierarchical Bayes Models to model and estimate spatial health effects. We focus on Germany and combine rich individual-level household panel data with administrative county-level information to estimate spatial county-level health dependencies. As dependent variable, we use the generic, continuous, and quasi-objective SF12 health measure. Our findings reveal strong and highly significant spatial dependencies and clusters.