RT Generic
T1 Posterior analysis of stochastic frontier models using Gibbs sampling
A1 Koop, Gary
A1 Steel, Mark F.J.
A1 Osiewalski, Jacek
A2 Universidad Carlos III de Madrid. Departamento de Estadística, 
AB 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.
YR 1992
FD 1992-12
LK https://hdl.handle.net/10016/3677
UL https://hdl.handle.net/10016/3677
LA eng
DS e-Archivo
RD 27 jul. 2024