Healthcare spending inequality: Evidence from Hungarian administrative data (Bíró, Prinz 2020)
Health Policy, DOI: 10.1016/j.healthpol.2020.01.00
Using administrative data on a random 50% of the Hungarian population, including individual-level information on incomes, healthcare spending, and mortality for the 2003–2011 period, we develop new evidence on the distribution of healthcare spending and mortality in Hungary by income and geography. By linking detailed administrative data on employment, income, and geographic location with measures of healthcare spending and mortality we are able to provide a more complete picture than the existing literature which has relied on survey data. We compute mean spending and 5-year and 8-year mortality measures by geography and income quantiles, and also present gender and age adjusted results.
We document four patterns: (i) substantial geographic heterogeneity in healthcare spending; (ii) positive association between labor income and public healthcare spending; (iii) geographic variation in the strength of the association between labor income and healthcare spending; and (iv) negative association between labor income and mortality. In further exploratory analysis, we find no statistically significant correlation between simple county-level supply measures and healthcare spending. We argue that taken together, these patterns suggest that individuals with higher labor income are in better health but consume more healthcare because they have better access to services.
Our work suggests new directions for research on the relationship between health inequalities and healthcare spending inequalities and the role of subtler barriers to healthcare access.