Expected efficiency ranks from parametric stochastic frontier models

被引:0
|
作者
William C. Horrace
Seth Richards-Shubik
Ian A. Wright
机构
[1] Syracuse University,Department of Economics
[2] Carnegie Mellon University,H. John Heinz III College, School of Public Policy and Management
[3] NBER,undefined
来源
Empirical Economics | 2015年 / 48卷
关键词
Efficiency estimation; Order statistics; Multivariate inference; Multiplicity; C12; C16; C44; D24;
D O I
暂无
中图分类号
学科分类号
摘要
In the stochastic frontier model, we extend the multivariate probability statements of Horrace (J Econom, 126:335–354, 2005) to calculate the conditional probability that a firm is any particular efficiency rank in the sample. From this, we construct the conditional expected efficiency rank for each firm. Compared to the traditional ranked efficiency point estimates, firm-level conditional expected ranks are more informative about the degree of uncertainty of the ranking. The conditional expected ranks may be useful for empiricists. A Monte Carlo study and an empirical example are provided.
引用
收藏
页码:829 / 848
页数:19
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