MONTE-CARLO COMPARISON OF CONDITIONAL NONPARAMETRIC METHODS AND TRADITIONAL APPROACHES TO INCLUDE EXOGENOUS VARIABLES

被引：7

作者：

Manuel Cordero, Jose ^{[1
]}

Polo, Cristina ^{[1
]}

Santin, Daniel ^{[2
]}

Sicilia, Gabriela ^{[3
]}

机构：

[1] Univ Extremadura, Badajoz, Spain

[2] Univ Complutense Madrid, Madrid, Spain

[3] Univ Autonoma Madrid, Madrid, Spain

来源：

Pacific Economic Review | 2016年 / 21卷 / 04期

关键词：

DATA ENVELOPMENT ANALYSIS; NON-DISCRETIONARY INPUTS; DECISION-MAKING UNITS; ENVIRONMENTAL VARIABLES; MEASURING EFFICIENCY; DOUBLE-BOOTSTRAP; FRONTIER MODELS; PUBLIC-SCHOOLS; NEW-ZEALAND; DEA;

D O I：

10.1111/1468-0106.12194

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The aim of this paper is to compare the performance of the conditional nonparametric approach with several traditional nonparametric methods to incorporate the effect of exogenous or environmental variables into the estimation of efficiency measures. To do this, we conduct a Monte Carlo experiment using a translog production function with one output, two discretionary inputs and two exogenous variables to generate simulated data. According to the values of different accuracy measures calculated to evaluate the performance of each method, the conditional data envelopment analysis clearly outperforms all the traditional alternatives.

引用

页码：483 / 497

页数：15

共 63 条

[1] Assessing health efficiency across countries with a two-step and bootstrap analysis [J].