Guidelines for using variable selection techniques in data envelopment analysis

European Journal of Operational Research

Volumn 215, Issue 3, 2011, Pages 662-669

  Nataraja, Niranjan R ^a   Johnson, Andrew L ^a  

^a Department of Electrical and Computer Engineering   (United States)

Author keywords

Data envelopment analysis; Efficiency estimation; Model specification

Indexed keywords

COMPUTATIONAL TIME; DATA SETS; EFFICIENCY ESTIMATION; HIGHLY-CORRELATED; LOW CORRELATION; MISSPECIFICATION; MODEL SPECIFICATION; MONTE CARLO SIMULATION; PRODUCTION PROCESS; SELECTION METHODS; SIGNIFICANT IMPACTS; SMALL DATA SET; VARIABLE SELECTION;

COMPUTER SIMULATION; EFFICIENCY; MONTE CARLO METHODS; PRINCIPAL COMPONENT ANALYSIS; SPECIFICATIONS;

DATA ENVELOPMENT ANALYSIS;

EID: 80052273668     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2011.06.045     Document Type: Article

References (30)

1. N. Adler, and B. Golany Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to western Europe European Journal of Operational Research 132 2 2001 260 273 (Pubitemid 32385019)
2. N. Adler, and B. Golany Including principal component weights to improve discrimination in data envelopment analysis The Journal of the Operational Research Society 53 9 2002 985 991 (Pubitemid 34964224)
3. N. Adler, and E. Yazhemsky Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction European Journal of Operational Research 202 1 2010 273 284
4. R.D. Banker Hypothesis tests using data envelopment analysis Journal of Productivity Analysis 7 2 1996 139 159 (Pubitemid 126716675)
5. R.D. Banker, A. Charnes, and W.W. Copper Some models for estimating technical and scale inefficiencies in data envelopment analysis Management Science 30 9 1984 1078 1092 (Pubitemid 14651320)
6. A. Charnes, W.W. Cooper, and E. Rhodes Measuring the efficiency of decision making units European Journal of Operational Research 2 6 1978 429 444 (Pubitemid 9402758)
7. W.-C. Chen, and A.L. Johnson The dynamics of performance space of major league baseball pitchers 1871-2006 Annals of Operational Research 181 1 2010 287 302
8. C. Dario, and L. Simar Advanced Robust and Nonparametric Methods in Efficiency Analysis 2007 Springer XXII: 248
9. R.G. Dyson, R. Allen, A.S. Camanho, V.V. Podinovski, C.S. Sarrico, and E.A. Shale Pitfalls and protocols in DEA European Journal of Operational Research 132 2 2001 245 259 (Pubitemid 32385018)
10. P. Fanchon Variable selection for dynamic measures efficiency in the computer industry International Advances in Economic Research 9 3 2003 175 188
11. H.O. Fried, C.A.K. Lovell, and S.S. Schmidt The Measurement of Productive Efficiency and Productivity Growth 2008 Oxford University Press
12. D.J. Gibbons Nonparametric Statistical Inference 2nd ed. 1985 McGraw-Hill Inc
13. B. Golany, and Y. Roll An application procedure for DEA Omega 17 3 1989 237 250
14. L. Jenkins, and M. Anderson A multivariate statistical approach to reducing the number of variables in data envelopment analysis European Journal of Operational Research 147 1 2003 51 61
15. A.Y. Lewin, R.C. Morey, and T.J. Cook Evaluating the administrative efficiency of courts Omega 10 4 1982 401 411
16. M. Norman, and B. Stoker Data Envelopment Analysis: The Assessment of Performance 1991 John Wiley and Sons Chichester England
17. J.A. Olson, P. Schmidt, and D.M. Waldman A Monte Carlo study of estimators of stochastic frontier production functions Journal of Econometrics 13 1 1980 67 82
18. J. Pastor Translation invariance in DEA: a generalization Annals of Operations Research 66 1996 93 102
19. J.T. Pastor, J.L. Ruiz, and I. Sirvent A statistical test for nested radial dea models Operations Research 50 4 2002 728 735
20. J. Ruggiero Impact assessment of input omission on DEA International Journal of Information Technology & Decision Making 04 03 2005 359 368 (Pubitemid 44099625)
21. T.R. Sexton, R.H. Silkman, and A.J. Hogan Data envelopment analysis: critique and extensions New Directions for Program Evaluation 1986 32 1986 73 105
22. M. Sigala, D. Airey, P. Jones, and A. Lockwood ICT paradox lost? a stepwise dea methodology to evaluate technology investments in tourism settings Journal of Travel Research 43 2 2004 180 192 (Pubitemid 39621938)
23. L. Simar, and P.W. Wilson A general methodology for bootstrapping in non-parametric frontier models Journal of Applied Statistics 27 6 2000 779 802
24. L. Simar, and P.W. Wilson Testing restrictions in nonparametric efficiency models Communications in Statistics 30 1 2001 159 184 (Pubitemid 33790993)
25. I. Sirvent, J.L. Ruiz, F. Borras, and J.T. Pastor A Monte Carlo evaluation of several tests for the selection of variables in dea models International Journal of Information Technology & Decision Making 4 3 2005 325 343 (Pubitemid 44099623)
26. P. Smith Model misspecification in data envelopment analysis Annals of Operations Research 73 0 1997 233 252
27. T. Ueda, and Y. Hoshiai Application of principal component analysis for parsimonious summarization of DEA inputs and/or outputs Journal of the Operations Research Society of Japan 40 4 1997 466 478
28. V. Valdmanis Sensitivity analysis for DEA models: an empirical example using public vs. NFP hospitals Journal of Public Economics 48 2 1992 185 205
29. J.M. Wagner, and D.G. Shimshak Stepwise selection of variables in data envelopment analysis: procedures and managerial perspectives European Journal of Operational Research 180 1 2007 57 67 (Pubitemid 46123863)
30. H.J. Wang, and P. Schmidt One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels Journal of Productivity Analysis 18 2 2002 129 144 (Pubitemid 37131015)