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 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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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. |
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ISSN: | 0266-4763 1360-0532 |
DOI: | 10.1080/02664763.2019.1588234 |