BEDS IN HEALTH FACILITIES IN THE ITALIAN REGIONS: A SOCIO-ECONOMIC APPROACH

Angelo Leogrande, Alberto Costantiello (), Domenico Leogrande and Fabio Anobile

No shkjt, SocArXiv from Center for Open Science

Abstract: In this article, we consider the determinants of the beds in healthcare facilities-BEDS in the Italian regions between 2004 and 2022. We use the ISTAT-BES database. We use different econometric techniques i.e.: Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled Ordinary Least Squares-OLS, Weighted Least Squares-WLS, and Dynamic Panel at 1 Stage. The results show that the level of BEDS is positively associated, among others, to "General Doctors with a Number of Clients over the Threshold" and "Life Satisfaction", and negatively associated among others, to "Trust in Parties" and "Positive Judgment on Future Prospects". Furthermore, we apply a clusterization with the k-Means algorithm optimized with the Silhouette Coefficient and we find the presence of two clusters in terms of BEDS. Finally, we make a confrontation among eight machine-learning algorithms and we find that the best predictor is the ANN-Artificial Neural Network.

Date: 2024-01-25
New Economics Papers: this item is included in nep-big
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Related works:
Working Paper: Beds in Health Facilities in the Italian Regions: A Socio-Economic Approach (2023)
Working Paper: Beds in Health Facilities in the Italian Regions: A Socio-Economic Approach (2023)
Working Paper: Beds in Health Facilities in the Italian Regions: A Socio-Economic Approach (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:shkjt

DOI: 10.31219/osf.io/shkjt

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