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

Stavros Kourtzidis, Panayiotis Tzeremes, Nickolaos Tzeremes

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    1 Citation (Scopus)
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    Abstract

    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.
    Original languageEnglish
    Pages (from-to)2481-2490
    Number of pages10
    JournalJournal of Applied Statistics
    Volume46
    Issue number13
    Early online date8 Mar 2019
    DOIs
    Publication statusPublished - 3 Oct 2019

    Keywords

    • Conditional efficiency measures
    • health expenditure
    • non-parametric analysis
    • probabilistic approach

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