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.
Cavicchia, C., Vichi, M., Zaccaria, G. (2019). A new hierarchical model-based composite indicator on climate change. In Statistical methods for service quality for service quality evaluation evaluation. Book of short papers of IES 2019, Rome, Italy, July 4-5 (pp. 346-349). Napoli : Cuzzolin.
A new hierarchical model-based composite indicator on climate change
Zaccaria, G
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.
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