A Bayesian estimator for stochastic frontier models with errors in variables

被引：0
|
作者：
Sheng-Kai Chang
Yi-Yi Chen
Hung-Jen Wang
机构：
[1] National Taiwan University,Department of Economics
[2] Tamkang University,Department of Economics
[3] Academia Sinica,The Institute of Economics
来源：
Journal of Productivity Analysis | 2012年 / 38卷
关键词：
Stochastic frontier models; Measurement errors; Bayesian estimator; C11; C16; C51;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A Bayesian estimator is proposed for a stochastic frontier model with errors in variables. The model assumes a truncated-normal distribution for the inefficiency and accommodates exogenous determinants of inefficiency. An empirical example of Tobin’s Q investment model is provided, in which the Q variable is known to suffer from measurement error. Results show that correcting for measurement error in the Q variable has an important effect on the estimation results.
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页码：1 / 9
页数：8
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