Semiparametric Bayesian inference for stochastic frontier models

DOI10.1016/j.jeconom.2003.11.001zbMath1328.62208OpenAlexW2071940340MaRDI QIDQ899522

Mark F. J. Steel, Jim E. Griffin

Publication date: 29 December 2015

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

Full work available at URL: https://doi.org/10.1016/j.jeconom.2003.11.001

zbMATH Keywords

Markov chain Monte CarloDirichlet processefficiency measurementhospital cost frontiers

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

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Cites Work

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• A gamma-distributed stochastic frontier model
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Formulation and estimation of stochastic frontier production function models
• Stochastic panel frontiers: A semiparametric approach
• Stochastic frontier models. A Bayesian perspective
• Bayesian efficiency analysis through individual effects: Hospital cost frontiers
• On the use of panel data in stochastic frontier models with improper priors
• Ferguson distributions via Polya urn schemes
• Semiparametric Bayes analysis of longitudinal data treatment models
• Bayesian variants of some classical semiparametric regression techniques
• A Bayesian analysis of some nonparametric problems
• Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
• Bayesian Nonparametric Inference for Random Distributions and Related Functions
• Efficient Semiparametric Estimation in a Stochastic Frontier Model
• A note on the scale parameter of the dirichlet process
• Semiparametric regression for count data
• Marginal Likelihood and Bayes Factors for Dirichlet Process Mixture Models
• Gibbs Sampling Methods for Stick-Breaking Priors
• Adaptive Rejection Sampling for Gibbs Sampling
• Estimating normal means with a conjugate style dirichlet process prior
• Bayesian Density Estimation and Inference Using Mixtures
• Efficient parametrisations for normal linear mixed models
• Semiparametric Bayesian Inference in Autoregressive Panel Data Models
• Benchmark priors for Bayesian model averaging.