Non-parametric tests of productive efficiency with errors-in-variables

被引:12
作者
Kuosmanen, Timo
Post, Thierry
Scholtes, Stefan
机构
[1] Univ Wageningen & Res Ctr, Environm Econ & Nat Resources Grp, NL-6700 EW Wageningen, Netherlands
[2] Erasmus Univ, Rotterdam Sch Econ, NL-3000 DR Rotterdam, Netherlands
[3] Erasmus Univ, ERIM, NL-3000 DR Rotterdam, Netherlands
[4] Univ Cambridge, Judge Business Sch, Cambridge CB2 1AG, England
关键词
non-parametric production analysis; data envelopment analysis (DEA); errors-in-variables; hypothesis testing; extreme value theory; DATA ENVELOPMENT ANALYSIS; FRONTIER MODELS; ADDITIVE-MODEL; DEA; SENSITIVITY; ROBUSTNESS;
D O I
10.1016/j.jeconom.2005.08.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
We develop a non-parametric test of productive efficiency that accounts for errors-in-variables, following the approach of Varian. [1985. Nonparametric analysis of optimizing behavior with measurement error. Journal of Econometrics 30(1/2), 445-458]. The test is based on the general Pareto-Koopmans notion of efficiency, and does not require price data. Statistical inference is based on the sampling distribution of the L-infinity norm of errors. The test statistic can be computed using a simple enumeration algorithm. The finite sample properties of the test are analyzed by means of a Monte Carlo simulation using real-world data of large EU commercial banks. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:131 / 162
页数:32
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