Healthcare Economist December 18, 2024
A paper by Kowal et al. (2023) does in fact measure the disparities in health outcomes. To do this, they use data from the American Community Survey (ACS), the National Vital Statistics System (NVSS) and the CDC’s Social Vulnerability Index (SVI) to estimate differences in life expectancy (LY), quality-adjusted life expectancy (QALE), and disability-free life expectancy (DFLY). The authors used a Bayesian approach to address missing (or suppressed) mortality data across race/ethnic groups (i.e., non-Hispanic American Indian or Alaska Native [AI/AN], non-Hispanic Asian/Pacific Islander, non-Hispanic black, non-Hispanic white, and Hispanic) at the county level. Mortality data came from the NVSS (via the CDC WONDER tool). Specifically, the Bayesian approach relied on a spatiotemporal models using a binomial distribution for the...
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