EconPapers    
Economics at your fingertips  
 

Chance Constrained Efficiency Evaluation

O. B. Olesen and N. C. Petersen
Additional contact information
N. C. Petersen: Department of Management, Odense University, Denmark

Management Science, 1995, vol. 41, issue 3, 442-457

Abstract: A model for efficiency evaluation based upon the theory of chance constrained programming is developed. The model uses a piecewise linear envelopment of confidence regions for observed stochastic multiple-input multiple-output combinations in the Data Envelopment Analysis (DEA) tradition. The model allows for an exogenous decomposition of the total variation in data for each Decision Making Unit (DMU). By varying certain probability levels the model can provide estimates of the sensitivity of efficiency scores regarding an unknown amount of noise in date. An application of the method in an evaluation of the research activities in economic departments at Danish Universities is presented.

Keywords: efficiency measurement; chance constraints; stochastic frontier estimation (search for similar items in EconPapers)
Date: 1995
References: Add references at CitEc
Citations: View citations in EconPapers (100)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.41.3.442 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:41:y:1995:i:3:p:442-457

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:ormnsc:v:41:y:1995:i:3:p:442-457