Posterior Analysis of Stochastic Frontier Models using Gibbs Sampling
- KOOP, Gary
(Department of Economics, University of Toronto)
- STEEL, Mark F.
(CentER and Department of Econometrics, Tilburg University)
- OSIEWALSKI, Jacek
(Department of Econometrics, Academy of Economics, Krakow and CORE, Universite)
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 Gibbs sampling methods can greatly reduce the computational difficulties involved in analyzing such models. Our findings are illustrated in an empirical example.
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Other versions of this item:
- Koop, Gary & Steel, Mark F.J. & Osiewalski, Jacek, 1992. "Posterior analysis of stochastic frontier models using Gibbs sampling," DES - Working Papers. Statistics and Econometrics. WS 3677, Universidad Carlos III de Madrid. Departamento de Estadística.
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