Cities are certainly a key factor in the location of gambling facilities. This paper aims to map the location of gambling outlets in urban areas and to examine potential links between neighborhoods socioeconomic and demographic characteristics and gambling supply, taking into account spatial dependencies of neighboring areas. This correlation is of interest because neighborhood characteristics may attract sellers, and because the presence of gambling sellers may cause changes in neighborhood demographics. Using detailed official data from the city of Madrid for the year 2017, three spatial econometric approaches are considered: spatial autoregressive (SAR) model, spatial error model (SEM) and spatial lag of X (explicative variables) model (SLX). Empirical analysis finds a strong correlation between neighborhoods characteristics and co-location of gambling outlets, highlighting a specific geographic patterning of distribution within more disadvantaged urban areas. This may have interesting implications for gambling stakeholders and for local governments when it comes to the introduction and/or increase of gambling availability.

The objective of this paper was to propose a health production model that distinguishes between the initial stock of health determinants and the subsequent investment in them, with a view to providing information to policy-makers regarding the effects of determinant-aimed policies. In this sense, the main contributions of the paper stem from the development of a theoretical and empirical model that distinguishes between the effect of the initial stock and that of investment in health determinants. To do this, we estimated the health production function using a stochastic frontier model. We present an empirical example using data for the years 2002 and 2008. The results support our decision to analyse the effects of the initial values attributable to health determinants separately from those arising following investment in the period. Concretely, we find significant differences for the determinants EMPLOY, SOCIALCLASS and NON-DRINKER. The results seem to indicate that, for variables labelled with the behavioural aspects of health such as NON-DRINKER, the effect over time of a change in investment in health is significantly greater than that resulting from a variation in initial values. In contrast, for socioeconomic variables such as SOCIAL CLASS or EMPLOY, for which effects on health tend to be more long-term in nature, the opposite occurs, with the effect of the investment during the time period proving significantly lower than the effect of the initial provision.

Problem gambling treatment is a challenging present-day topic. This paper proposes an empirical model for evaluating the effectiveness of treatment for problem gambling using a sample of problem gamblers treated by a set of Spanish associations dedicated to gambling addiction issues. Data consists of multiple levels of nested groups (individuals and problem gambling recovery centres). A multi-level, mixed-effects logistic regression is used which permits controlling for unobserved heterogeneity across different problem gambling associations. The results seem to indicate that individual aspects such as age, family history, marital status or work situation, but also behavioural factors (previous dropouts, relapses during treatment, or consumption of other substances) are found to affect the effectiveness of treatment for gambling disorders. The analysis of the predictors for treatment efficacy may help treatment techniques to be adapted depending on the characteristics of individual patients and to evaluate programmes designed by treatment centres.