Robust determinants of health care expenditure growth

Abstract

Our aim is to disclose robust explanatory variables for health care expenditure (HCE) growth by introducing to this field of research a method that is especially well suited for situations of ‘model uncertainty’: the Extreme Bounds Analysis (EBA). We analyse data for 33 OECD countries over the period 1970–2010 and include – as far as it is statistically feasible – all macroeconomic and institutional determinants of HCE growth in the EBA that have been suggested in the literature. Furthermore, we analyse to what extent outliers in the data influence the results. Our results confirm earlier findings that GDP growth and a variable representing Baumol’s ‘cost disease’ theory emerge as robust and statistically significant determinants of HCE growth. Depending on whether or not outliers are excluded, we find up to six additional robust drivers: the growth in expenditure on health administration, the change in the share of inpatient expenditure in total health expenditure, the (lagged) government share in GDP, the change in the insurance coverage ratio, the growth in land traffic fatalities and the growth in the population share undergoing renal dialysis.