PATTERN RECOGNITION VIA ROBUST SMOOTHING WITH APPLICATION TO LASER DATA

Nowadays airborne laser scanning is used in many territorial studies, providing point data which may contain strong discontinuities. Motivated by the need to interpolate such data and preserve their edges, this paper considers robust nonparametric smoothers. These estimators, when implemented with bounded loss functions, have suitable jump‐preserving properties. Iterative algorithms are developed here, and are equivalent to nonlinear M‐smoothers, but have the advantage of resembling the linear Kernel regression. The selection of their coefficients is carried out by combining cross‐validation and robust‐tuning techniques. Two real case studies and a simulation experiment confirm the validity of the method; in particular, the performance in building recognition is excellent.     

Bidirectional Relations Between Authoritative Parenting and Adolescents’ Prosocial Behaviors

This study examined the bidirectional relations between authoritative parenting and adolescents’ prosocial behavior over a 1‐year time period. Data were taken from Time 2 and 3 of the Flourishing Families Project, and included reports from 319 two‐parent families with an adolescent child (M age of child at Time 2 = 12.34, SD = 1.06, 52% girls). Cross‐lag analyses supported bidirectional relations between parenting and prosocial behavior with particular emphasis on the role of the adolescents’ prosocial behavior on subsequent parenting. Results also varied as a function of the reporter. Discussion focuses on the implications for understanding the multifaceted nature of prosocial development in adolescence.     

Innovating the provision of welfare services through collective action: the case of Italian social cooperatives

Social cooperatives are the most widespread social enterprise type in Italy. Their evolution has stimulated the development of diverse interpretative frameworks of social enterprise determinants: the mainstream one is that social cooperatives are the outcome of contracting out policies. Through a critical investigation of social cooperatives’ emergence, integration into public policies, and reaction to the financial crisis, the authors refocus attention to one of the key modes of creation of social enterprises that has not gained the attention it deserves: the bottom-up dynamic. The analysis carried out sheds light on the contribution of citizens’ mobilization to institutional change and confirms that social enterprises can also emerge in an unprepared and hostile ideological, economic and political context.     

Predicting Children's Prosocial and Co‐operative Behavior from Their Temperamental Profiles: A Person‐centered Approach

The goal of this study was to examine how aspects of self‐regulation and negative emotionality predicted children's co‐operative and prosocial behavior concurrently and longitudinally using the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development. Mothers completed measures of children's temperamental proneness to negative emotionality and self‐regulation at 54 months. Teachers and parents completed measures of children's co‐operative and prosocial behavior at 54 months, first grade, and third grade. A latent profile analysis of the temperamental variables revealed four profiles of children: those high in regulation and low in negative emotionality, those moderate in regulation and moderate in negative emotionality, those low in regulation and high in negative emotionality, and finally those who were very low in regulation but high in anger emotionality. Generally, children with profiles that were high or moderate in terms of regulation and low or moderate in terms of negative emotionality were rated as the most prosocial and co‐operative. Children with profiles that were less well regulated and who were high in negative emotionality (particularly anger proneness) were rated as less co‐operative and prosocial by parents and teachers.     

CONGLOMERATES AND REGULATION

Conglomerates operating integrated productions in different regulated and unregulated sectors may benefit of scope economies. However, the precise size of these synergies is often unknown to both rival firms and regulators. We show that the conglomerate's private information on scope economies may negatively affect both the regulated and the unregulated sectors depending on the precise nature of competition (strategic substitutes or complements). We also unveil a novel effect of regulation that involves an informational externality to the conglomerate's rivals. Notwithstanding these complications, and independently of the nature of competition, we show that in our model it is desirable, as for welfare, to let the firm run integrated productions, unless diseconomies of scope may realize. (JEL L51, L43, L52)     

Predictors of Antisocial and Prosocial Behavior in an Adolescent Sports Context

This study examined antisocial and prosocial behavior of N = 439 adolescent athletes between 14 and 17 years of age (67 teams). Multi‐level analyses showed that team membership explained 20 and 13 percent of the variance in antisocial and prosocial behavior in the sports context, respectively. The team effects suggest that aggregating antisocial or prosocial adolescents within teams may partially explain differences in antisocial and prosocial behavior among athletes in the sports context. A trend was found toward a relation between higher levels of moral reasoning within teams, and less antisocial behavior in the sports context. Favorable moral atmosphere was positively associated with more prosocial behavior in the sports context. Finally, supportive coach–athlete relationships were associated with both less antisocial and more prosocial behavior in the sports context.     

Bayesian Conditional Mean Estimation in Log‐Normal Linear Regression Models with Finite Quadratic Expected Loss

Log‐normal linear regression models are popular in many fields of research. Bayesian estimation of the conditional mean of the dependent variable is problematic as many choices of the prior for the variance (on the log‐scale) lead to posterior distributions with no finite moments. We propose a generalized inverse Gaussian prior for this variance and derive the conditions on the prior parameters that yield posterior distributions of the conditional mean of the dependent variable with finite moments up to a pre‐specified order. The conditions depend on one of the three parameters of the suggested prior; the other two have an influence on inferences for small and medium sample sizes. A second goal of this paper is to discuss how to choose these parameters according to different criteria including the optimization of frequentist properties of posterior means.     

Ethical uneasiness and the need for open-ended reflexivity: the case of research into older people with a wish to die

This article focuses on research ethics in highly intimate research with possible impact on life and death. In order to stimulate an open-ended dialogue about research ethics, we reflect on four ethical challenges that came up during our research into older people with a wish to die. Drawing on our experiences, we discuss (1) the possibly confirming influence of our research on the death wish (moral experience of whether or not to disregard responsibility); (2) the suggested duty to intervene (moral experience of whether or not to compromise the person’s autonomy); (3) the researcher’s authority and power over the data (moral experience of threatening a person’s self-narrative) and (4) the dilemma of intimacy (moral experience of encountering the tragic). For guidance in addressing these challenges, we draw upon work on research ethics from phenomenological and care ethics scholars, as well as from those writing about relational ethics in health research. We suggest that being open about ethical uneasiness is important, because in most cases of a grey area, there are only open-ended answers needing an enquiring mind, rather than clear and fixed guidelines. Acknowledgement of ethical uneasiness and open-ended reflexivity are indispensable to constitute a morally good research practice.     

Working with and for the citizens

This article argues that a better management of increasingly complex socio-ecological systems would require to adopt evidence-based policy-making and improve the science–policy interface by means of participatory action research involving scientists, citizens and policy-makers. The connectivity between the production of scientific evidence by experts and the delivery of policies by policy-makers is currently unsatisfactory. There is the need to find more effective knowledge mechanisms between researchers and policy-makers. A new way of connecting scientists and policy-makers is to invite a “third player” to the game, i.e. the citizens and stakeholders who are interested in or affected by policy decisions, to perform pilot experiments of participatory research. Participatory research combines different forms of knowledge. “Objective” knowledge produced by scientific disciplines is needed to describe, explain or understand a phenomenon, but participatory research brings in the contribution of citizens' everyday knowledge, e.g. their intimate familiarity with their environment and social context. The approach is illustrated with the aid of examples provided by a number of EU-funded participatory research projects coordinated by ISIS: RAISE (www.raise-eu.org), MOVE TOGETHER (www.move-together.net) and AWARE (www.aware-eu.net).