Fairness of National Health Service in Italy: a bivariate correlated random effects model
Journal of Applied Statistics, 36, (7), . (doi:10.1080/02664760802499311).
Full text not available from this repository.
The primary purpose of this paper is to comprehensively assess households’ burden due to health payments. Starting from the fairness approach developed by the World Health Organization, we analyse the burden of healthcare payments on Italian households by modeling catastrophic payments and impoverishment due to healthcare expenditures. For this purpose, we propose to extend the analysis of fairness in financing contribution through a generalized linear mixed models by introducing a bivariate correlated random effects model, where association between the outcomes is modeled through individual- and outcome-specific latent effects which are assumed to be correlated. We discuss model parameter estimation in a finite mixture context. By using such model specification, the fairness of the Italian national health service is investigated.
|Digital Object Identifier (DOI):
||fairness, healthcare, random effects models, binary data, non-parametric maximum likelihood
||Statistics, Statistical Sciences Research Institute
|18 June 2009||e-pub ahead of print|
||10 Dec 2012 12:26
||17 Apr 2017 16:18
|Further Information:||Google Scholar|
Actions (login required)