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    Article

    Nonparametric estimation of the determinants of inefficiency

    We consider the benchmark stochastic frontier model where inefficiency is directly influenced by observable determinants. In this setting, we estimate the stochastic frontier and the conditional mean of ineffi...

    Christopher F. Parmeter, Hung-Jen Wang in Journal of Productivity Analysis (2017)

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    Estimation of Technical Inefficiency in Production Frontier Models Using Cross-Sectional Data

    In this paper, we discuss the specification and estimation of technical efficiency in a variety of stochastic frontier production models. The focus is on cross-sectional models. We start from the basic neoclas...

    Subal C. Kumbhakar, Hung-Jen Wang in Benchmarking for Performance Evaluation (2015)

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    Article

    A Bayesian estimator for stochastic frontier models with errors in variables

    A Bayesian estimator is proposed for a stochastic frontier model with errors in variables. The model assumes a truncated-normal distribution for the inefficiency and accommodates exogenous determinants of inef...

    Sheng-Kai Chang, Yi-Yi Chen, Hung-Jen Wang in Journal of Productivity Analysis (2012)

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    Article

    Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model

    We consider a model that provides flexible parameterizations of the exogenous influences on inefficiency. In particular, we demonstrate the model's unique property of accommodating non-monotonic efficiency eff...

    Hung-Jen Wang in Journal of Productivity Analysis (2002)

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    Article

    One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels

    Consider a stochastic frontier model with one-sided inefficiency u, and suppose that the scale of u depends on some variables (firm characteristics) z. A “one-step” model specifies both the stochastic frontier an...

    Hung-jen Wang, Peter Schmidt in Journal of Productivity Analysis (2002)