Bias and precision in the DEA two-stage method

被引:18
作者
Barnum, Darold T. [1 ,2 ]
Gleason, John M. [3 ]
机构
[1] Univ Illinois, Coll Business Adm MC 243, Dept Managerial Studies, Chicago, IL 60607 USA
[2] Univ Illinois, Coll Business Adm MC 243, Dept Informat & Decis Sci, Chicago, IL 60607 USA
[3] Creighton Univ, Coll Business Adm, Dept Informat Syst & Technol, Omaha, NE 68178 USA
关键词
D O I
10.1080/00036840600949470
中图分类号
F [经济];
学科分类号
02 ;
摘要
In Data Envelopment Analysis (DEA), the two-stage method is a popular procedure for accounting for exogenous influences on efficiency. With the conventional two-stage method, a DEA is first conducted using only traditional (endogenous) inputs and outputs. Then, the first-stage DEA scores are regressed on the environmental/contextual (exogenous) inputs of interest. The regression outcomes are used to identify exogenous inputs that influence the first-stage DEA scores to a statistically significant degree, and to adjust DEA scores to account for these influences. Herein, it is demonstrated empirically that the conventional method exhibits substantial bias and low precision, with the degree of bias and precision affected by input variance and correlation. A reverse two-stage procedure that yields estimates without the bias and precision problems that compromise the validity of the conventional method's estimates is suggested.
引用
收藏
页码:CP3 / 2311
页数:7
相关论文
共 38 条
[1]   A PROCEDURE FOR RANKING EFFICIENT UNITS IN DATA ENVELOPMENT ANALYSIS [J].
ANDERSEN, P ;
PETERSEN, NC .
MANAGEMENT SCIENCE, 1993, 39 (10) :1261-1265
[2]  
[Anonymous], 1989, ANN PUBLIC COOP EC, DOI DOI 10.1111/J.1467-8292.1989.TB02010.X
[3]   Technical efficiency bias caused by intra-input aggregation in data envelopment analysis [J].
Barnum, D ;
Gleason, J .
APPLIED ECONOMICS LETTERS, 2005, 12 (13) :785-788
[4]   Technical efficiency bias in data envelopment analysis caused by intra-output aggregation [J].
Barnum, Darold T. ;
Gleason, John M. .
APPLIED ECONOMICS LETTERS, 2007, 14 (7-9) :623-626
[5]   Biases in technical efficiency scores caused by intra-input aggregation: mathematical analysis and a DEA application using simulated data [J].
Barnum, Darold T. ;
Gleason, John M. .
APPLIED ECONOMICS, 2006, 38 (14) :1593-1603
[6]   Analyzing proficiency criteria of health technology systems: The case of drug testing [J].
Barnum, DT ;
Gleason, JM .
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 1999, 46 (03) :359-369
[7]   Measuring efficiency in allocating inputs among outputs with DEA [J].
Barnum, DT ;
Gleason, JM .
APPLIED ECONOMICS LETTERS, 2006, 13 (06) :333-336
[8]   A comparative study of efficiency in European banking [J].
Casu, B ;
Molyneux, P .
APPLIED ECONOMICS, 2003, 35 (17) :1865-1876
[9]  
Casu B., 2004, Appl Financ Econ, V14, P687, DOI [10.1080/0960310042000243529, DOI 10.1080/0960310042000243529]
[10]  
Coelli T.J., 1997, INTRO EFFICIENCY PRO