Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis

A recent spate of research has attempted to develop estimators for stochastic frontier models that embrace semi- and nonparametric insights to enjoy the advantages inherent in the more traditional operations research method of data envelopment analysis. These newer methods explicitly allow statistic...

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Veröffentlicht in:	Operations research 2019-11, Vol.67 (6), p.1628-1658
Hauptverfasser:	Parmeter, Christopher F., Zelenyuk, Valentin
Format:	Artikel
Sprache:	eng
Schlagworte:	additive Axioms bandwidth Computer simulation Data analysis data analysis: statistics Data envelopment analysis Decision making units Empirical analysis Estimators heteroskedasticity kernel Literature reviews measurement error Methods nonparametric nonparametric: statistics Operations research Optimization partly linear statistical inference: queues Statistical methods Stochastic models
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