By using the probabilistic framework of production efficiency, the paper develops timedependent conditional efficiency estimators performing a non-parametric frontier analysis. Specifically, by applying both full and quantile (robust) time-dependent conditional estimators, it models the dynamic effect of health expenditure on countries’ technological change and technological catch-up levels. The results from the application reveal that the effect of per capita health expenditure on countries’ technological change and technological catch-up is nonlinear and is subject to countries’ specific income levels.
- Conditional efficiency measures
- health expenditure
- non-parametric analysis
- probabilistic approach
Kourtzidis, S., Tzeremes, P., & Tzeremes, N. (2019). Conditional time-dependent nonparametric estimators with an application to healthcare production function. Journal of Applied Statistics, 46(13), 2481-2490. https://doi.org/10.1080/02664763.2019.1588234