A1164
Title: Fairness in health expenditure: A bivariate bi-dimensional mixed-effects regression
Authors: Antonello Maruotti - Libera Università Maria Ss Assunta (Italy) [presenting]
Pierfrancesco Alaimo Di Loro - LUMSA University (Italy)
Abstract: The primary purpose is to comprehensively assess households' burden due to health payments. Starting from the fairness approach developed by the World Health Organization, the burden of healthcare payments is analyzed on Italian households by modeling catastrophic payments due to healthcare expenditures. For this purpose, the analysis of fairness in financing contribution is extended through a bivariate bi-dimensional mixed-effects regression model, where all model parameters and not only the mean vary according to a regression model. The model is able to capture heterogeneity across regions and allows for a full association structure among outcomes, assuming a discrete distribution for the random terms with a possibly different number of support points in each univariate profile.
