Conditional time-dependent nonparametric estimators with an application to healthcare production function

By using the probabilistic framework of production efficiency, the paper develops time-dependent 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 eff...

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Veröffentlicht in:Journal of applied statistics 2019-10, Vol.46 (13), p.2481-2490
Hauptverfasser: Kourtzidis, Stavros, Tzeremes, Panayiotis, Tzeremes, Nickolaos G.
Format: Artikel
Sprache:eng
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Zusammenfassung:By using the probabilistic framework of production efficiency, the paper develops time-dependent 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.
ISSN:0266-4763
1360-0532
DOI:10.1080/02664763.2019.1588234