Do European countries differ in the efficiency of their welfare policies? And which factors can account for such variability? To address these questions, we perform a two-stage efficiency analysis. First, based on a composite output indicator for social protection expenditure, we measure efficiency by means of the Free Disposable Hull and Data Envelopment Analysis techniques. Second, we perform an econometric analysis to identify the factors that can be associated to cross-country differences. We find that countries scoring higher efficiency have higher education and GDP levels, a smaller population size, a lower degree of selectivity of their welfare systems and a lower corruption level.

Purpose: This paper proposes an analysis of occupational accidents in Italy at the regional level. For this purpose, our panel is composed of 20 regions over the 2010–2019 time span.Design/methodology/approach: We apply different econometric estimation techniques (pooled OLS model, panel fixed and random effects models and semiparametric fixed model) using INAIL and ISTAT data. Our models investigate workplace accidents at the regional level by accounting for socioeconomic, labour market and productive system variables and controlling for possible underreporting bias.Findings: Overall results reveal the existence of a relevant under-notification phenomenon of accidents at work with respect to moderate accidents, that is higher especially for the southern regions of Italy. However, when considering as outcome variable an alternative set of more severe workplace accidents our model specification remains highly jointly statistically significant. Among our main findings, the analysis shows that worker skills (blue collar) strongly affect the regional pattern of workplace accidents, i.e. an increase of 1% of low paid employees generates about an increase of 1.8 severe workplace accidents per thousand workers. Moreover, we provide evidence that the size of the firm is inversely related to the occupational accident rates. Finally, our results highlight a nonlinear relationship between GDP and occupational accidents for the Italian regional context, confirmed by the high statistical significance of the quadratic term in all the estimated linear models and by the semi-parametric analysis.Originality/value: A first element of originality of our study consists of investigating the macro determinants of occupation accidents at a regional Italian level. Second, the empirical literature (Boone and Van Ours, 2006) highlights the possible bias of underreporting behaviours on nonfatal accidents in contrast to fatal accidents that are always reported. From this perspective, we have identified a few analyses (namely, Boone et al., 2011) considering different accident sets characterised by different severity degrees. Thus, this paper contributes to the literature considering five alternative subsets of accidents stratified by degree of severity (i.e. moderate, severe, moderate plus severe, severe plus fatal and total accident rates) to test for possible underreporting bias affecting our econometric model.

This paper investigates the role of institutional quality in explaining cross-regional variation in population health status in Italy. We first introduce a composite Regional Health Status Indicator summarizing life expectancy, mortality and morbidity data. Then, we study the empirical relationship between this indicator and a set of socioeconomic, health system and institutional controls at the Italian regional level over the period of 2011–2019. We find that institutional quality is a driver of population health. Furthermore, well-functioning local institutions and regions compliant with national standards in terms of public healthcare services (Essential Levels of Care) make socioeconomic context no longer relevant for population health, potentially reducing inequalities.

Based on the construction of a composite index to assess the relative performance of welfare policies, we show that the variability of performances cannot be explained only by the amount of resources devoted to social policies, but also by its composition: countries with higher shares of social public expenditure, specifically aimed at reducing income concentration, obtain better results. This associates the traditional classification of the European welfare systems to the performance obtained in the social sector.

In this paper we investigate the relationship between family structure and poverty for European countries using Eurostat and OECD data. In particular, we focus on the change in living arrangements, with the traditional type of household—couple with children—being partially replaced by single and extended families. The results of our econometric analysis show that the decline in the traditional family type affects individual poverty: the marriage rate and the share of couples, both with and without children, are inversely related to poverty; the divorce rate, the shares of extended families and singles with children are, instead, positively related to poverty.

We present an analytical literature review on optimal sin taxes. After identifying the distinctive features of sin goods, we develop a simple, encompassing model of the taxation of sin goods that allows for treating the main models found in the literature as subcases. We derive the optimal sin tax rates, while also considering the subsidisation of healthy goods. We then discuss the Pareto-improvement result obtained in the theoretical literature, confronting it with the debate on the regressivity of this kind of taxation. We highlight the crucial role of the interaction of tastes, self-control problems and poverty when deriving policy conclusions from theoretical models.