This paper proposes a stochastic frontier panel data model in which unit-specific inefficiencies are spatially correlated. In particular, this model has simultaneously three important features: i) the total inefficiency of a productive unit depends on its own inefficiency and on the inefficiency...

Understanding the role that drug adherence has on health outcomes in everyday clinical practice is central for the policy maker. This is particularly true when patients suffer from asymptomatic chronic conditions (i.e., hypertension, hypercholesterolemia, and diabetes). By exploiting a unique...

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,...

This paper studies the impact of municipal non-residential property taxation on firms' performance using a panel data of italian manufacturing firms in 2001-2010. In the spirit of Duranton et al. (2011), we use a pairwise spatial difference instrumental variable estimator which allows to tackle...

This paper investigates the impact of business property taxation on firms' performance using a panel of Italian manufacturing firms. To account for endogeneity in local taxation, we exploit a pairwise spatial differenced generalized method of moments estimator. As well as providing robust...