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  1. Article

    Introduction

    Subal C. Kumbhakar, Robin Sickles, Hung-Jen Wang in Empirical Economics (2023)

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    Chapter

    A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application

    In the metafrontier literature, firms are put into groups, generally defined by technology or geography. Each group has its own technological frontier, and the metafrontier is the upper bound of these group fr...

    Christine Amsler, Yi Yi Chen, Peter Schmidt… in Advanced Mathematical Methods for Economic… (2023)

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    Article

    A hierarchical panel data stochastic frontier model for the estimation of stochastic metafrontiers

    This paper proposes a stochastic frontier model with three composed errors, and therefore six error components. As in the metafrontier literature, firms belong to groups with a group-specific frontier. A firm ...

    Christine Amsler, Yi Yi Chen, Peter Schmidt, Hung Jen Wang in Empirical Economics (2021)

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    Reference Work Entry In depth

    Stochastic Frontier Models

    The stochastic frontier model was first proposed in the context of production function estimation to account for the effect of technical inefficiency. The inefficiency causes actual output to fall below the po...

    Hung-Jen Wang in The New Palgrave Dictionary of Economics (2018)

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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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    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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    Living Reference Work Entry In depth

    Stochastic Frontier Models

    The stochastic frontier model was first proposed in the context of production function estimation to account for the effect of technical inefficiency. The inefficiency causes actual output to fall below the po...

    Hung-Jen Wang in The New Palgrave Dictionary of Economics

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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)