Version 1
: Received: 2 September 2023 / Approved: 4 September 2023 / Online: 5 September 2023 (05:19:05 CEST)
How to cite:
Leogrande, A.; Costantiello, A.; Leogrande, D. The Socio-Economic Determinants of the Number of Physicians in Italian Regions. Preprints2023, 2023090199. https://doi.org/10.20944/preprints202309.0199.v1
Leogrande, A.; Costantiello, A.; Leogrande, D. The Socio-Economic Determinants of the Number of Physicians in Italian Regions. Preprints 2023, 2023090199. https://doi.org/10.20944/preprints202309.0199.v1
Leogrande, A.; Costantiello, A.; Leogrande, D. The Socio-Economic Determinants of the Number of Physicians in Italian Regions. Preprints2023, 2023090199. https://doi.org/10.20944/preprints202309.0199.v1
APA Style
Leogrande, A., Costantiello, A., & Leogrande, D. (2023). The Socio-Economic Determinants of the Number of Physicians in Italian Regions. Preprints. https://doi.org/10.20944/preprints202309.0199.v1
Chicago/Turabian Style
Leogrande, A., Alberto Costantiello and Domenico Leogrande. 2023 "The Socio-Economic Determinants of the Number of Physicians in Italian Regions" Preprints. https://doi.org/10.20944/preprints202309.0199.v1
Abstract
In the following article, we analyse the determinants of the number of physicians in the context of ISTAT BES-Benessere Equo Sostenibile data among twenty Italian regions in the period 2004-2022. We apply Panel Data with Random Effects, Panel Data with Fixed Effects, and Pooled OLS-Ordinary Least Squares. We found that the number of Physicians among Italian regions is positively associated, among others, to “Trust in the Police and Firefighters”, “Net Income Inequality”, and negatively associated, among others, to “Research and Development Intensity” and “Soil waterproofing by artificial cover”. Furthermore, we apply the k-Means algorithm optimized with the Silhouette Coefficient and we find the presence of two clusters. Finally, we confront eight different machine-learning algorithms to predict the future value of physicians and we find that the PNN-Probabilistic Neural Network 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
Subject
Business, Economics and Management, Economics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
