Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index

By Laurens Cherchye, Willem Moesen, Nicky Rogge, Tom Van Puyenbroeck, Michaela Saisana, Andrea Saltelli, R. Liska, Stefano Tarantola. Journal of the Operational Research Society, 2008

382 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/1e8f86b9d126503a42009af9670f4adc5546c1bc

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Citations in the corpus

On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness (2018, background): “Due to the desirable properties of the endogenously calculated differential weighting, applications in the literature follow suit (e.g. Takamura and Tone 2003; Despotis 2005a; Murias et al. 2006; Zhou et al. 2007; Cherchye et al. 2008; Hermans et al. 2008; Antonio and Martin 2012; Gaaloul and Khalfa”
Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA (2015, positive): “…the human development index for different countries (Despotis, 2005a; Despotis, 2005b) Construction of composite indicators using DEA (Cherchye et al., 2007; Cherchye et al., 2008; Zhou et al., 2007) 31 (28.97) 17 (15.89) 20 (18.69) 18 (16.82) 21 (19.63) II.9 Ranking of units (167 / 6.50 /…”
A Dea-Logistics Performance Index (2017, methodology): “These measures are gaining more acceptance as a tool for policy making and, especially, benchmarking analysis on countries’ relative performance (Cherchye et al. 2008).”
Evaluation of performance of European cities with the aim to promote quality of life improvements (2011, background): “[10], restrictions to virtual outputs, corresponding to the dimensions of quality of life specified in our model, are particularly interesting in this context of estimation of composite indicators, as these do not depend on the measurement units and directly reveal how the respective dimension contr”
Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions (2018, background): “…(for a review considering more than 160 different indicators, see Bandura, 2008), the weights set is clearly the manifest problem for composite indices such as the popular HDI (e.g., Cherchye et al., 2008; Foster, McGillivray, & Seth, 2009; Permanyer, 2011; Saisana, Saltelli, & Tarantola, 2005).”
Setting weights in multidimensional indices of well-being (2008, background): “26In case β = 1, this problem reduces to linear programming problem, see Cherchye et al. (2006) for technical details.”
Composite Indicator of Social Inclusion for European Countries (2014, methodology): “where L and U, ranging between 0 and 1, are the lower and the upper bounds (in percentage terms) for the contribution of the j-th indicator in CI (Cherchye et al., 2008).”
Weights in Multidimensional Indices of Wellbeing: An Overview (2013, positive): “Cherchye et al. provide an overview (2007). The weights are individual-specic and endogenously determined such that they maximize the obtained well-being of the individual.”
Composite Indices: Rank Robustness, Statistical Association, and Redundancy (2013, background): “Cherchye et al. (2008) consider a simultaneous change in the weights, the normalizations of dimensional variables, and the functional form of the composite index, and find conditions under which an original comparison will be preserved.”