Posterior analysis of stochastic frontier models using Gibbs sampling

Gary Koop, Mark Steel and Jacek Osiewalski

DES - Working Papers. Statistics and Econometrics. WS from Universidad Carlos III de Madrid. Departamento de Estadística

Abstract: In this paper we describe the use of Gibbs sampling methods for making posterior inferences in stochastic frontier models with composed error. We show how the Gibbs sampler can greatly reduce the computational difficulties involved in analyzing such models. Our fidings are illustrated in an empirical example.

Keywords: Composed; error; models; Bayesian; econometrics; Gibbs; sampling; Rejection; sampling (search for similar items in EconPapers)
Date: 1992-12
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Citations: View citations in EconPapers (1)

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Related works:
Working Paper: Posterior Analysis of Stochastic Frontier Models using Gibbs Sampling (1994)
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Persistent link: https://EconPapers.repec.org/RePEc:cte:wsrepe:3677

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