Elderly People Treated in Integrated Home Care in Italian Regions: A Metric Approach

Onofrio Resta, Emanuela Resta, Alberto Costantiello () and Angelo Leogrande

MPRA Paper from University Library of Munich, Germany

Abstract: In this article, we analyse the ESG determinants of the “Elderly People Treated in Integrated Home Care”-EPIHC in the Italian regions between 2004 and 2022. We used data from the ISTAT-BES database. We used different econometric techniques i.e.: Panel Data with Random Effects, Panel Data with Fixed Effects, Pooled Ordinary Least Squares-OLS and Weighted Least Squares-WLS. The results show that the EPIHC is positively associated with “Nurses, midwives, and Soil sealing by artificial cover" and negatively associated with "Museum heritage density and relevance" and "Trust in law enforcement agencies and firefighters fire". Furthermore, we have applied a k-Means algorithm with the Silhouette Coefficient and we find the presence of two clusters. Finally, we propose a confrontation among eight different machine-learning algorithms and we find that Linear Regression is the best predictive algorithm.

Keywords: Analysis of Health Care Markets; Health Behaviors; Health Insurance; Public and Private; Health and Inequality; Health and Economic Development; Government Policy • Regulation • Public Health. (search for similar items in EconPapers)
JEL-codes: I11 I12 I13 I14 I15 I18 (search for similar items in EconPapers)
Date: 2023-12-30
New Economics Papers: this item is included in nep-age and nep-big
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Related works:
Working Paper: Elderly People Treated in Integrated Home Care in Italian Regions: A Metric Approach (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:119621

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