Stochastic frontier models. A Bayesian perspective

DOI10.1016/0304-4076(94)90087-6zbMath0788.62097OpenAlexW183008905MaRDI QIDQ1318974

Jacek Osiewalski, Mark F. J. Steel, Gary Koop, Julien van den Broeck

Publication date: 5 June 1994

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0304-4076(94)90087-6

zbMATH Keywords

predictionestimationimportance samplingefficiencyMonte Carlo methodsprior elicitationmodel comparisonnumerical integrationscomposed error production modelsempirical examplemixing of models

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Bayesian inference (62F15) Probabilistic methods, stochastic differential equations (65C99)

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Cites Work

• A gamma-distributed stochastic frontier model
• A tractable likelihood function for the normal-gamma stochastic frontier model
• Likelihood functions for generalized stochastic frontier estimation
• Decomposing stochastic frontier efficiency into secular and organisational efficiency
• Formulation and estimation of stochastic frontier production function models
• Robust Bayesian inference in elliptical regression models
• Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
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