A Monte Carlo study on the finite sample properties of the Gibbs sampling method for a stochastic frontier model

被引:6
作者
Zhang, XY [1 ]
机构
[1] Kobe Univ, Dept Econ, Nada Ku, Kobe, Hyogo 6578501, Japan
关键词
stochastic frontier; Gibbs sampler; Monte Carlo study;
D O I
10.1023/A:1007895912705
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper we use Monte Carlo study to investigate the finite sample properties of the Bayesian estimator obtained by the Gibbs sampler and its classical counterpart (i.e. the MLE) for a stochastic frontier model. Our Monte Carlo results show that the MSE performance of the estimates of Gibbs sampling are substantially better than that of the MLE.
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页码:71 / 83
页数:13
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