Author
Listed:
- Michela Nardo
(Joint Research Centre, European Commission, Ispra)
- Michaela Saisana
(Joint Research Centre, European Commission, Ispra)
- Andrea Saltelli
(Joint Research Centre, European Commission, Ispra)
- Stefano Tarantola
(Joint Research Centre, European Commission, Ispra)
- Anders Hoffman
(OECD)
- Enrico Giovannini
(OECD)
AbstractThis Handbook aims to provide a guide for constructing and using composite indicators for policy makers, academics, the media and other interested parties. While there are several types of composite indicators, this Handbook is concerned with those which compare and rank country performance in areas such as industrial competitiveness, sustainable development, globalisation and innovation. The Handbook aims to contribute to a better understanding of the complexity of composite indicators and to an improvement of the techniques currently used to build them. In particular, it contains a set of technical guidelines that can help constructors of composite indicators to improve the quality of their outputs. It has been prepared jointly by the OECD (the Statistics Directorate and the Directorate for Science, Technology and Industry) and the Applied Statistics and Econometrics Unit of the Joint Research Centre of the European Commission in Ispra, Italy. Primary authors from the JRC are Michela Nardo, Michaela Saisana, Andrea Saltelli and Stefano Tarantola. Primary authors from the OECD are Anders Hoffmann and Enrico Giovannini. Editorial assistance was provided by Candice Stevens, Gunseli Baygan and Karsten Olsen. The research is partly funded by the European Commission, Research Directorate, under the project KEI (Knowledge Economy Indicators), Contract FP6 No. 502529. In the OECD context, the work has benefitted from a grant from the Danish government. The views expressed are those of the authors and should not be regarded as stating an official position of either the European Commission or the OECD. Ce Manuel a pour objectif de procurer aux responsables politiques, universitaires, médias et autres parties concernées un guide sur la façon d’élaborer et d’utiliser des indicateurs composites. Si il existe plusieurs types d’indicateurs composites, ce Manuel intéresse ceux qui comparent et classent la performance d’un pays dans des domaines comme la compétitivité industrielle, le développement durable, la mondialisation et les innovations. Le Manuel a pour objectif de contribuer à une meilleure compréhension de la complexité des indicateurs composites et à une amélioration des techniques actuellement utilisées pour les élaborer. En particulier, il contient une série de lignes directrices techniques qui peuvent aider les concepteurs d’indicateurs composites à améliorer la qualité de leurs productions. Il a été conjointement préparé par l’OCDE (la Direction des statistiques et la Direction de la science, de la technologie et de l’industrie) et la cellule des Statistiques appliquées et de l’économétrie du Centre commun de recherche (CCR) de la Commission européenne à Ispra en Italie. Les auteurs originaux du CCR sont Michela Nardo, Michaela Saisana, Andrea Saltelli et Stefano Tarantola. Les auteurs originaux de l’OCDE sont Anders Hoffmann et Enrico Giovannini. L’assistance éditoriale a été assurée par Candice Stevens, Gunseli Baygan et Karsten Olsen. Les recherches sont partiellement financées par la Direction des recherches de la Commission européenne, pour le projet KEI (Knowledge Economy Indicators), Contrat FP6 no. 502529. Pour ce qui est de l’OCDE, le travail a bénéficié d’une subvention du gouvernement danois. Les points de vue exprimés sont ceux des auteurs et ils ne doivent pas être considérés comme l’expression d’une position officielle de la Commission européenne ou de l’OCDE.
Suggested Citation
Michela Nardo & Michaela Saisana & Andrea Saltelli & Stefano Tarantola & Anders Hoffman & Enrico Giovannini, 2005.
"Handbook on Constructing Composite Indicators: Methodology and User Guide,"
OECD Statistics Working Papers
2005/3, OECD Publishing.
Handle:
RePEc:oec:stdaaa:2005/3-en
DOI: 10.1787/533411815016
Download full text from publisher
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