An ultrametric model to build a Composite Indicators system

Carlo Cavicchia, Pasquale Sarnacchiaro, Maurizio Vichi, Giorgia Zaccaria*

*Corresponding author for this work

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

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Abstract

In the last years, the use of composite indicators has consistently increased, and the necessity to build model-based composite indicators with a strong
methodological statistical approach becomes more and more important for reasons
of trustworthiness. In this paper, we propose to build a composite indicators system
able to measure different levels of relations among (group of) variables according
to an ultrametric form which detects a hierarchical structure upon (group of) variables. Each dimension is measured as a specific composite indicator which reflects a
subset of variables. In order to show its potential and applicability, the methodology
is employed to analyze a dataset which contains variables about separated waste
collection in Italy taking into consideration both its performance and its costs
Original languageEnglish
Title of host publicationBook of Short papers 10th International Conference IES 2022 Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment
EditorsRosaria Lombardo, Ida Camminatiello, Violetta Simonacci
Pages208-211
ISBN (Electronic)978-88-94593-36-5
Publication statusPublished - 2022

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