The investigation of the determinants of public health expenditure is the focus of a vivid debate among health economists whereas the actual crisis of the welfare systems calls for the adoption of innovative tools to inform rational decisions, in the light of stringent budget constraints.
Have collaborated in this study:
-SEMEION Research Centre of Sciences of Communication, Rome, Italy
-CEIS – Economic Evaluation and HTA (EEHTA), Faculty of Economics, University of Rome Tor Vergata, Rome, Italy
-Department of Statistics, University of Rome La Sapienza, Rome, Italy
-ALTEMS, Universita` Cattolica del Sacro Cuore, Rome, Italy
F.S. Mennini, L. Gitto, S. Russo, A. Cicchetti, M. Ruggeri, S. Coretti, G. Maurelli, P.M. Buscema
Does regional belonging explain the similarities in the expenditure determinants of Italian healthcare deliveries? An approach based on Artificial Neural Networks
in Economic Analysis and Policy 55 (2017) 47–56, Elsevier, http://dx.doi.org/10.1016/j.eap.2017.04.005. 29 April 2017.
P.M. Buscema, G. Maurelli, F.S. Mennini, L. Gitto, S. Russo, M. Ruggeri, S. Coretti, A. Cicchetti
Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory
in Quality & Quantity, 10.1007/s11135-016-0329-y, Springer Science+Business Media Dordrecht 2016. 24 March 2016.
