An ultrametric model to build a Composite Indicators system
| Autor: | Cavicchia, Carlo, Sarnacchiaro, Pasquale, Vichi, Maurizio, Zaccaria, Giorgia, Lombardo, Rosaria, Camminatiello, Ida, Simonacci, Violetta |
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| Přispěvatelé: | Econometrics |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Zdroj: | Book of Short papers 10th International Conference IES 2022 Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment, 208-211 STARTPAGE=208;ENDPAGE=211;TITLE=Book of Short papers 10th International Conference IES 2022 Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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