In this paper we study the influence of social interaction on patients' hospital choice and its relationship with quality delivered by hospitals, using Italian data. We explore the impact on individual choices of a set of variables such as travel distance, individual- and hospital-specific...

In this paper, we investigate the impact of precarious employment on mental health using a unique dataset that matches information on mental health with labour characteristics for a set of employees in Italy. We examine the causal effect of temporary contracts, their duration and the number of...

We study the presence and the magnitudes of trade-offs between health outcomes and hospitals' efficiency using a data set from Lombardy, Italy, for the period 2008–2011. Our goal is to analyze whether the pressures for cost containment may affect hospital performance in terms of population...

In this paper, we investigate the impact of precarious employment on mental health using a unique dataset that matches information on mental health with labour characteristics for a set of employees in Italy. We examine the causal effect of temporary contracts, their duration and the number of...

Cluster-weighted modeling (CWM) is a mixture approach to modeling the joint probability of data coming from a heterogeneous population. Under Gaussian assumptions, we investigate statistical properties of CWM from both theoretical and numerical point of view; in particular, we show that Gaussian...

In recent years, governments and other stakeholders have increasingly used administrative data for measuring healthcare outcomes and building rankings of health care providers. However, the accuracy of such data sources has often been questioned. Starting in 2002, the Lombardy (Italy) regional...

This paper considers the estimation of Kumbhakar et al. (J Prod Anal. doi:<ExternalRef> <RefSource>10.1007/s11123-012-0303-1</RefSource> <RefTarget Address="10.1007/s11123-012-0303-1" TargetType="DOI"/> </ExternalRef>, <CitationRef CitationID="CR30">2012</CitationRef>) (KLH) four random components stochastic frontier (SF) model using MLE techniques. We derive the log-likelihood function of the model using results from the closed-skew normal...</citationref></refsource></externalref>