Abstract

http://ssrn.com/abstract=1353122
 
 

References (24)



 


 



Combining Two Approaches to Efficiency Measurement


Chris Tofallis


University of Hertfordshire Business School

2001

Journal of the Operational Research Society, Vol. 52, No. 11, pp. 1225-1231, 2001

Abstract:     
The advent of data envelopment analysis (DEA) enabled the measurement of efficiency to be extended to the case of multiple outputs. Prior to DEA we had the parametric approach based on multiple regression. We highlight some difficulties associated with these two approaches and present a hybrid which overcomes them whilst maintaining the respective advantages of each.

DEA is used to identify the frontier units. A model is then fitted to provide a relationship between the outputs and inputs of these efficient units.Thus our hybrid approach models the efficient frontier in a mathematical form; the resulting smooth representation allows all units to be naturally enveloped and hence slacks to be avoided. (Slacks are potential improvements for inefficient units which are not accounted for in the DEA (radial) score, and so have been problematic for DEA.) The approach identifies the DEA-efficient units and fits a smooth model to them using maximum correlation modeling. This new technique extends the method of multiple regression to the case where there are multiple variables on each side of the model equation (eg outputs and inputs). The resulting expression for the frontier permits managers to estimate the effect on their efficiency score of adjustments in one or more input or output levels.

Number of Pages in PDF File: 7

Keywords: data envelopment analysis, performance measurement, productivity, production theory

JEL Classification: C2, D2

Accepted Paper Series


Download This Paper

Date posted: March 4, 2009  

Suggested Citation

Tofallis, Chris, Combining Two Approaches to Efficiency Measurement (2001). Journal of the Operational Research Society, Vol. 52, No. 11, pp. 1225-1231, 2001. Available at SSRN: http://ssrn.com/abstract=1353122

Contact Information

Chris Tofallis (Contact Author)
University of Hertfordshire Business School ( email )
College Lane
Hatfield, Hertfordshire AL10 9AB
United Kingdom
HOME PAGE: http://tinyurl.com/tofallis
Feedback to SSRN


Paper statistics
Abstract Views: 2,368
Downloads: 813
Download Rank: 15,173
References:  24

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo4 in 0.328 seconds