Paper Info
Title
The influence curve approach in data envelopment analysis
Abstract
The behavior of efficiency in the stochastic DEA model is examined here in terms of the influence curve approach which quantifies the influence of observed data on the empirical fit of the production frontier. Data influence is analyzed here through robustness. Two types of robustness and sensitivity issues are analyzed here in terms of (a) a new class of minimax measures, and (b) a set nonlinear efficiency measures and it is shown through empirical applications that in suitable cases these measures outperform the conventional ones.
Year
DOI
Venue
1991
10.1007/BF01582884
Math. Program.
Keywords
Field
DocType
sensitivity and robustness of optimal solutions,influence curve approach,nonlinear efficiency.,data envelopment analysis,data envelope analysis
Production–possibility frontier,Econometrics,Mathematical optimization,Minimax,Nonlinear system,Robustness (computer science),Stochastic modelling,Data envelopment analysis,Mathematics
Journal
Volume
Issue
ISSN
52
1
0025-5610
Citations 
PageRank 
References 
2
1.83
2
Authors
1
Name
Order
Citations
PageRank
Jati K. Sengupta17260.40