On the influence of model setting on stochastic frontier analysis

被引：4
作者：
Stankova, Michaela [1 ]
Hampel, David [1 ]
机构：
[1] Mendel Univ Brno, Dept Stat & Operat Anal, Zemedelska 1, Brno 61300, Czech Republic
来源：
MATHEMATICAL METHODS IN THE APPLIED SCIENCES | 2021年 / 44卷 / 01期
关键词：
BC estimator; inefficiency distribution; JLMS estimator; production models; stochastic frontier analysis; stochastic models; TECHNICAL INEFFICIENCY; EFFICIENCY; SFA; DEA;
D O I：
10.1002/mma.6730
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This article deals with the comparison of technical efficiency results through various stochastic frontier analysis models. Effects of model type, possible frontier shift, distribution of inefficiency term, different output variable, and estimator selection were explored. For this purpose, aggregated annual data within the EU construction sector from 2000 to 2015 were used for the efficiency estimation. The resulting efficiency values were compared by correlation coefficients. Among others, it has been shown that estimator selection may strongly affect efficiency estimate for particular models.
引用
收藏
页码：274 / 283
页数：10
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