EconPapers    
Economics at your fingertips  
 

DEA Models Overview

Joseph C. Paradi, H. David Sherman and Fai Keung Tam
Additional contact information
Joseph C. Paradi: University of Toronto
H. David Sherman: Northeastern University
Fai Keung Tam: University of Toronto

Chapter Chapter 1 in Data Envelopment Analysis in the Financial Services Industry, 2018, pp 3-39 from Springer

Abstract: Abstract We begin with the basic DEA Models and some useful extensions (although we expect that some will see it as too much while others as too little). While we promised to minimize the mathematics, some are, unfortunately, unavoidable. We have excluded any specific discussion of the underlying linear programming (LP) mathematics that drives DEA, and while some general understanding of this is helpful for understanding the academic literature, it is not needed to understand the benefits and ways to apply DEA.

Keywords: Malmquist Index (MI); Efficiency Scores; Slacks-based Measure (SBM); Input-oriented Constant Returns; Efficient Cross (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:isochp:978-3-319-69725-3_1

Ordering information: This item can be ordered from
http://www.springer.com/9783319697253

DOI: 10.1007/978-3-319-69725-3_1

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-3-319-69725-3_1