Over the last decades spatial econometric models have represented a common tool for measuring spillover effects across different geographical entities (counties, provinces, regions or nations). The aim of this paper is to investigate the issue of measuring spatial spillovers in the presence of...

Over the last decades spatial econometrics models have represented a common tool for measuring spillover effects across different geographical entities (counties, provinces, regions or nations). Unfortunately, no one has considered that when these entities share common borders but obey to...

Spatial econometric models are now an established tool for measuring spillover effects between geographical entities. Unfortunately, however, when entities share common borders but are subject to different institutional frameworks, unless this is taken into account the conclusions may be...

The main objective of this article is to evaluate to which extent the set of national and regional cost control policies implemented in recent years in Italy have affected hospital activity. Our contribution is mainly empirical as we focus our attention on the impact that policies like hospital...

This article describes sfcross and sfpanel, two new Stata commands for the estimation of cross-sectional and panel-data stochastic frontier models. sfcross extends the capabilities of the frontier command by including additional models (Greene, 2003, Journal of Productivity Analysis 19: 179–190;...

This paper describes sfcross and sfpanel, two new Stata commands for the estimation of cross-sectional and panel data stochastic frontier models. sfcross extends the official frontier capabilities by including additional models (Greene 2003; Wang 2002) and command functionality, such as the...

Understanding the role of drug adherence in everyday clinical practice is central for the policy maker agenda. Despite researchers have investigated this issue at length, uncertainty remains about the true contribution of drug adherence in enhancing therapy effectiveness. In this paper, we aim...

This paper presents xsmle, a new Stata command for the estimation of spatial panel-data models. xsmle fits a spatial autoregressive model, a spatial error model, and a spatial Durbin model with fixed or random effects and with or without a dynamic component. Moreover, xsmle estimates the...

Econometricians have begun to devote more attention to spatial interactions when carrying out applied econometric studies. The new command we are presenting, xsmle, fits fixed- and random-effects spatial models for balanced panel data for a wide range of specifications: the spatial...

The minimum density power divergence (MDPD) framework (Basu et al., 1998) provides a family of estimators indexed by a parameter (α), which controls the tradeoff between efficiency and robustness. In this paper, we extend this estimation framework to finite mixtures of regression models. In...