Life expectancy at birth is one of the health indicators OECD has chosen for measuring the quality of life; however, living longer does not mean living better. For this reason, in this work we shift the focus from life expectancy to Healthy-Adjusted Life Expectancy (HALE). Exploiting the functional data clustering by the two-step filtering method and the k-means cluster, we look at the geographical heterogeneity of HALE Gap Ratio between different countries and High-Income countries.

Multi-country analysis of healthy life expectancy gap / Di Lorenzo, Emilia; Piscopo, Gabriella; Roviello, Alba; Sibillo, Marilena. - (2025). ( Conferenza Annuale AIQUAV Firenze 11/12/2025).

Multi-country analysis of healthy life expectancy gap

Emilia Di Lorenzo;Gabriella Piscopo;Alba Roviello;Marilena Sibillo
2025

Abstract

Life expectancy at birth is one of the health indicators OECD has chosen for measuring the quality of life; however, living longer does not mean living better. For this reason, in this work we shift the focus from life expectancy to Healthy-Adjusted Life Expectancy (HALE). Exploiting the functional data clustering by the two-step filtering method and the k-means cluster, we look at the geographical heterogeneity of HALE Gap Ratio between different countries and High-Income countries.
2025
Multi-country analysis of healthy life expectancy gap / Di Lorenzo, Emilia; Piscopo, Gabriella; Roviello, Alba; Sibillo, Marilena. - (2025). ( Conferenza Annuale AIQUAV Firenze 11/12/2025).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1020475
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