A bootstrapped robust data envelopment analysis model for efficiency estimating of telecommunication companies in Iran

Authors:
S. J. Sadjadi;H. Omrani
Affiliations:
Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran;Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran
Venue:
Telecommunications Policy
Year:
2010

Citing 12
Cited 6

Maximum likelihood, consistency and data envelopment analysis: a statistical foundation

Management Science
Robust Solutions to Least-Squares Problems with Uncertain Data

SIAM Journal on Matrix Analysis and Applications
Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models

Management Science
Robust Convex Optimization

Mathematics of Operations Research
Robust Solutions to Uncertain Semidefinite Programs

SIAM Journal on Optimization
The Price of Robustness

Operations Research
Learning spatially variant dissimilarity (SVaD) measures

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Tractable Approximations to Robust Conic Optimization Problems

Mathematical Programming: Series A and B
Productivity analysis of the telecommunications sector in China

Telecommunications Policy
Efficiency ranking of the OECD member states in the area of telecommunications: A composite AHP/DEA study

Telecommunications Policy
Robust solutions of uncertain linear programs

Operations Research Letters
Robust linear optimization under general norms

Operations Research Letters

A robust super-efficiency data envelopment analysis model for ranking of provincial gas companies in Iran

Expert Systems with Applications: An International Journal
Measuring the technology gap of APEC integrated telecommunications operators

Telecommunications Policy
Dynamic performance analysis of U.S. wireline telecommunication companies

Telecommunications Policy
Common weights data envelopment analysis with uncertain data: A robust optimization approach

Computers and Industrial Engineering
Statistical precision of productivity change: A bootstrap application to Taiwan's telecommunications industry

Telecommunications Policy
Consistent and robust ranking in imprecise data envelopment analysis under perturbations of random subsets of data

OR Spectrum

Quantified Score

Hi-index	0.00

Visualization

Abstract

One of the primary concerns in measuring the relative efficiency of a telecommunication unit compared with other similar units is the uncertainty on input/output data. In this paper, a bootstrapped robust data envelopment analysis (BRDEA) model is proposed to measure the efficiency of telecommunication companies. The proposed method is capable of handling different issues such as the uncertainty in data or sampling errors. The model is examined using some real data from a telecommunication company. First, the data from 24 telecommunication companies are assumed with uncertainty and the efficiency of telecommunication companies are estimated using a robust DEA model. Then, the results of the efficiencies are corrected by a bootstrapping technique. The results indicate that the BRDEA method considers the perturbation in data and sampling error with an adaptation of bootstrapped robust data envelopment analysis and could be more reliable for efficiency estimating strategies.