Does regional belonging explain the similarities in the expenditure determinants of Italian healthcare deliveries?
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DOI: 10.1016/j.eap.2017.04.005
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- Paolo Massimo Buscema & Guido Maurelli & Francesco Saverio Mennini & Lara Gitto & Simone Russo & Matteo Ruggeri & Silvia Coretti & Americo Cicchetti, 2017. "Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1261-1276, May.
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More about this item
Keywords
Health expenditure; Artificial Neural Networks; AutoCM model; Budget data; Local Health Units;All these keywords.
JEL classification:
- H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
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