TY  - RPRT
        AU  - Courtemanche, Charles
AU  - Soneji, Samir
AU  - Tchernis, Rusty
        TI  - Modeling Area-Level Health Rankings
        PY  - 2013/Sep/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 7631
        UR  - https://www.iza.org/publications/dp7631
        AB  - We propose a Bayesian factor analysis model to rank the health of localities. Mortality and morbidity variables empirically contribute to the resulting rank, and population and spatial correlation are incorporated into a measure of uncertainty. We use county-level data from Texas and Wisconsin to compare our approach to conventional rankings that assign deterministic factor weights and ignore uncertainty. Greater discrepancies in rankings emerge for Texas than Wisconsin since the differences between the empirically-derived and deterministic weights are more substantial. Uncertainty is evident in both states but becomes especially large in Texas after incorporating noise from imputing its considerable missing data.
        KW  - factor analysis
KW  - health
KW  - rank
KW  - county
KW  - Bayesian
        ER  -