Efficiency and Productivity Analysis

Teachers

Included in study programs

Teaching results

After completing this course students will:
a) have knowledge of the principles of non-parametric estimation of the production set and measurement of the effectiveness of activities
b) be able to implement optimization program to evaluate effectiveness as well as interpret and present results
c) to propose an adequate method of evaluating efficiency and to draw consequences for managerial or economic-political decision-making

Indicative content

Efficiency measurement using revenue, cost and distance functions. Econometric estimates
production, cost and revenue functions. Revenues from scope. DEA - Data package analysis. Nonparametric estimation of a production set. Efficiency measurement - input and output orientation. CCR model. Variable returns from the range: BCC model. Additive models. Intertemporal analysis: productivity indices and decomposition.

Support literature

COELLI, T.J – PRASADA RAO, D.S. ¬ O'DONNELL, CH.J. – BATTESE, G.E. 2005. An Introduction to Efficiency and Productivity Analysis. 2.vyd. Springer: 2005.
COOPER, W. – SEIFORD, L.M. – TONE, K. 2007. Data envelopment Analysis. A Comprehensive Text with Models, Applications, References and DEA-Solver Software. 2.vyd. Springer, 2007.
RAY, S. 2004. Data Envelopment Analysis: Theory and Techniques for Economics and Operational Research. Cambridge University Press, 2004.

Requirements to complete the course

20 % coursework, 20 % assignments, 60 % final exam

Student workload

Total: 156 (participation in lectures 26, participation in seminars 26, preparation for seminars and track credit tests 26, assignments elaboration 26, preparation for the final exam 52)

Language whose command is required to complete the course

English

Date of approval: 12.03.2024

Date of the latest change: 11.02.2022