Comparison of Bayesian models for production efficiency

DOI10.1080/02664763.2011.559203OpenAlexW2018150900MaRDI QIDQ5124928

Ricardo S. Ehlers

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2011.559203

zbMATH Keywords

Markov chain Monte CarloGibbs samplerproduction functionmodel comparisonBayesian approach

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Probabilistic frontier regression models for binary type output data ⋮ Estimating the efficiency of Brazilian electricity distribution utilities

Uses Software

• R
• CODA
• WinBUGS
• BUGS
• JAGS

Cites Work

• Unnamed Item
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• A gamma-distributed stochastic frontier model
• Semiparametric Bayesian inference for stochastic frontier models
• Likelihood functions for generalized stochastic frontier estimation
• Formulation and estimation of stochastic frontier production function models
• Stochastic frontier models. A Bayesian perspective
• On the use of panel data in stochastic frontier models with improper priors
• Technological inefficiency and the skewness of the error component in stochastic frontier analysis
• Posterior analysis of stochastic frontier models using Gibbs sampling
• Objective Bayesian analysis for the Student-t regression model
• Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
• Bayesian Measures of Model Complexity and Fit
• Generalized Production Functions
• The Joint Measurement of Technical and Allocative Inefficiencies