In this work we present some results obtained with a unique database of patient level data collected through GPs. The availability of such data opens new scenarios and paradigms for the planning and management of the health care system and for policy impact evaluation studies. The data set,...

In this article we present a new methodology to support fiscal monitoring by the Italian Revenue Agency (IRA) with the aim of improving current taxpayers fiscal compliance and fighting tax evasion within small and medium enterprises. In fact, given the methodology behind the Sector Studies...

The support for scientific investigation in biomedicine depends in part on the adoption of new knowledge into medical practice. We investigate how a technological advance, in the form of a large and influential 2010 randomized controlled study, changed physician practice in statin (a medication...

Health risk is increasingly viewed as an important form of background risk that affects household portfolio decisions. However, its role might be mediated by the presence of a protective full-coverage National Health System that could reduce households’ probability of incurring current and...

The aim of the paper is to disentangle the roles that patients, physicians and technology can have on patient health outcomes using a large and detailed dataset of Italian patients collected by the Italian College of General Practitioners (SIMG) over the period 2001–2006. As our data show the...

The aim of this article is to analyze the relationship between drug price and drug quality and how it varies across two of the most common regulatory regimes in the pharmaceutical market: Minimum Efficacy Standards (MES) and Price Controls (PC). We develop a model of adverse selection where a...

The aim of this research is to investigate the relationship between obesity and wages, using data for nine countries from the European Community Household Panel (ECHP) over the period 1998-2001. We improve upon the existing literature by adopting an Instrumental Variable Quantile Regression...