Chance‐constrained data envelopment analysis


Journal Article

Data envelopment analysis (DEA) is extended to the case of stochastic inputs and outputs through the use of chance‐constrained programming. The chance‐constrained frontier envelops a given set of observations ‘most of the time’. As an empirical illustration, we re‐examine the pioneering 1981 study of Program Follow Through by Charnes, Cooper and Rhodes. Copyright © 1993 John Wiley & Sons, Ltd.

Full Text

Duke Authors

Cited Authors

  • Land, KC; Lovell, CAK; Thore, S

Published Date

  • January 1, 1993

Published In

Volume / Issue

  • 14 / 6

Start / End Page

  • 541 - 554

Electronic International Standard Serial Number (EISSN)

  • 1099-1468

International Standard Serial Number (ISSN)

  • 0143-6570

Digital Object Identifier (DOI)

  • 10.1002/mde.4090140607

Citation Source

  • Scopus