ISSN:
1573-0441
Keywords:
Linear programming
;
data envelopment analysis
;
sensitivity analysis
Source:
Springer Online Journal Archives 1860-2000
Topics:
Economics
Notes:
Abstract A new technique for assessing the sensitivity and stability of efficiency classifications in Data Envelopment Analysis (DEA) is presented. Here developed for the ratio (CCR) model, this technique extends easily to other DEA variants. An organization's input-outut vector serves as the center for a cell within which the organization's classification remains unchanged under perturbations of the data. For the l 1, l ∞ and generalized l ∞ norms, the radius of the maximal cell can be computed using linear programming formulations. This radius can be interpreted as a measure of the classification's stability, especially with respect to errors in the data.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00158473
