Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index
Top Cited Papers
- 1 February 2008
- journal article
- Published by Informa UK Limited in Journal of the Operational Research Society
- Vol. 59 (2), 239-251
- https://doi.org/10.1057/palgrave.jors.2602445
Abstract
Composite indicators are regularly used for benchmarking countries performance, but equally often stir controversies about the unavoidable subjectivity that is connected with their construction. Data Envelopment Analysis helps to overcome some key limitations, viz., the undesirable dependence of final results from the preliminary normalization of sub-indicators, and, more cogently, from the subjective nature of the weights used for aggregating. Still, subjective decisions remain, and such modelling uncertainty propagates onto countries composite indicator values and relative rankings. Uncertainty and sensitivity analysis are therefore needed to assess robustness of final results and to analyze how much each individual source of uncertainty contributes to the output variance. The current paper reports on these issues, using the Technology Achievement Index as an illustration.JRC.G.9-Econometrics and statistical support to antifrauKeywords
This publication has 21 references indexed in Scilit:
- One market, one number? A composite indicator assessment of EU internal market dynamicsEuropean Economic Review, 2007
- Sensitivity Analysis in DEAPublished by Springer Science and Business Media LLC ,2005
- A reassessment of the human development index via data envelopment analysisJournal of the Operational Research Society, 2005
- Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU*JCMS: Journal of Common Market Studies, 2004
- Social IndicatorsPublished by Oxford University Press (OUP) ,2002
- Measuring the Technology Achievement of Nations and the Capacity to Participate in the Network AgeJournal of Human Development, 2002
- Nonparametric frontier estimation: a robust approachJournal of Econometrics, 2001
- Importance measures in global sensitivity analysis of nonlinear modelsReliability Engineering & System Safety, 1996
- Preface to topics in data envelopment analysisAnnals of Operations Research, 1984
- Measuring the efficiency of decision making unitsEuropean Journal of Operational Research, 1978