Please use this identifier to cite or link to this item:
|Title:||Uncertainty and Sensitivity Analysis Techniques as Tools for the Quality Assessment of Composite Indicators|
|Authors:||SAISANA Michaela; SALTELLI ANDREA; TARANTOLA STEFANO|
|Citation:||JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY vol. 168 no. 2 p. 307-323|
|Type:||Articles in Journals|
|Abstract:||Composite indicators are increasingly used for bench-marking countries performances. Yet doubts are often raised about the robustness of the resulting countries rankings and about the significance of the associated policy message.We propose the use of uncertainty analysis and sensitivity analysis to gain useful insights during the process of building composite indicators, including a contribution to the indicators definition of quality and an assessment of the reliability of countries rankings. We discuss to what extent the use of uncertainty and sensitivity analysis may increase transparency or make policy inference more defensible by applying the methodology to a known composite indicator: the United Nations technology achievement index.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.