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Entrance Exam
 
 
  M.A. Programme |  Doctoral Programme
   
  Syllabus M.A. Credit Course Electives
 

Data Envelopment Analysis

  1. Semester: III/IV
  2. Number of Credits: 2

Preamble
The course is useful in measuring the performances of similar units. It identifies the extent of inefficiency, the causes for this inefficiency through the wastage of resources and also suggests the extent to which the performance can be improved.  The study will be accompanied with illustrative exercise at different stages.

Module 1: Concepts of Data Envelopment Analysis (DEA) (12 lectures)
Basic Concepts:  A Decision-Making Unit; Measurement of Efficiency; Frontier Analysis, Mathematical Programming Aspects of DEA:Linear Programming; primal & dual; fractional DEA programme; output- maximization and input-minimization DEA models.

Module 2: Applications
Economies of Scale: Variable and Constant Returns to Scale and DEA, Technical and scale efficiencies; Computer applications using industry data; extensions in DEA: Malmquist Productivity Index, Use of Regressions and sensitivity analysis in DEA.
Practical applications using sectoral data

References
1.

Ramanathan R (2003) An Introduction to Data Envelopment Analysis A tool for performance measurement

Sage Publications New Delhi (Module 1,2,3,4)
2.

Ray Subhash (2004) Data Envelopment Analysis Theory and Techniques for Economics and Operations

Research, Cambridge University Press, UK. (Module 1,2,3,4)

3.

Tim Coelli – DEAP – Data Envelopment Analysis (Computer) Programme, Centre for Efficiency and

Productivity Analysis, Department of Econometrics, University of England, Armidale, Australia.
 
  Core Courses  |  Electives
 
 
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