This research aims at building reliable information about the drivers of expenditures at municipality level that could be used to guide policy makers in the public health care organization. In addition, the spatial temporal structure of the dataset (built using administrative data) is investigated considering a panel data spa- tial error model for per capita expenditures. The results of model estimation and the demographic projections are employed for the long-run predictions of regional health expenditures in the well-known aging population framework characterizing the Italian health system.

Predictions of regional HCE: spatial and time patterns in an ageing population framework

Laura Rizzi
Primo
Methodology
;
Luca Grassetti
Secondo
Formal Analysis
;
Alvisa Palese
Conceptualization
;
Alessio Fornasin
Ultimo
Supervision
2021-01-01

Abstract

This research aims at building reliable information about the drivers of expenditures at municipality level that could be used to guide policy makers in the public health care organization. In addition, the spatial temporal structure of the dataset (built using administrative data) is investigated considering a panel data spa- tial error model for per capita expenditures. The results of model estimation and the demographic projections are employed for the long-run predictions of regional health expenditures in the well-known aging population framework characterizing the Italian health system.
2021
9788891927361
File in questo prodotto:
File Dimensione Formato  
SIS_2021_Ageing.pdf

non disponibili

Tipologia: Documento in Post-print
Licenza: Non pubblico
Dimensione 631.39 kB
Formato Adobe PDF
631.39 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1207388
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact