In recent years, climate change is a crucial and compelling topic in public debate because of the risks for human life it could entail. This paper proposes a new hierarchical model-based composite indicator to explore the latent dimensions defining the climate change phenomenon. One of its main advantage is that it allows to investigate the order and the magnitude of the hierarchical aggregations and, in several cases, it leads to the definition of new latent and not-theoretically defined dimensions.
A new hierarchical model-based composite indicator on climate change / Cavicchia, Carlo; Vichi, Maurizio; Zaccaria, Giorgia. - (2019), pp. 346-349. (Intervento presentato al convegno 9th International conference IES 2019 - Innovation & Society - Statistical evaluation systems at 360°: techniques, technologies and new frontiers tenutosi a Rome; Italy).
A new hierarchical model-based composite indicator on climate change
Carlo Cavicchia;Maurizio Vichi;Giorgia Zaccaria
2019
Abstract
In recent years, climate change is a crucial and compelling topic in public debate because of the risks for human life it could entail. This paper proposes a new hierarchical model-based composite indicator to explore the latent dimensions defining the climate change phenomenon. One of its main advantage is that it allows to investigate the order and the magnitude of the hierarchical aggregations and, in several cases, it leads to the definition of new latent and not-theoretically defined dimensions.| File | Dimensione | Formato | |
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