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Beds in Health Facilities in the Italian Regions: A Socio-Economic Approach

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  • Leogrande, Angelo
  • Costantiello, Alberto
  • Leogrande, Domenico
  • Anobile, Fabio

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

Suggested Citation

  • Leogrande, Angelo & Costantiello, Alberto & Leogrande, Domenico & Anobile, Fabio, 2023. "Beds in Health Facilities in the Italian Regions: A Socio-Economic Approach," SocArXiv 9sjcr_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:9sjcr_v1
    DOI: 10.31219/osf.io/9sjcr_v1
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