Insurance demand and social comparison: An experimental analysis

This paper analyzes whether social comparison can explain the low take-up of disaster insurance usually reported in field studies. We argue that risks in the case of disasters are highly correlated between subjects whereas risks for which high insurance take-up can be observed (e.g. extended warranties or cell phone insurance) are typically idiosyncratic. We set up a simple model with social reference points and show that in the presence of inequality aversion social comparison makes insurance indeed less attractive if risks are correlated. In addition we conducted a simple experiment which confirms these theoretical results. The average willingness to pay for insurance is significantly higher for idiosyncratic than for correlated risks.     

Subjective Welfare, Well-Being, and Self-Reported Food Hypersensitivity in Four European Countries: Implications for European Policy

This study estimates the effects of food hypersensitivity on individuals?? perceived welfare and well-being compared to non-food hypersensitive individuals. Study respondents were recruited in the Netherlands, Poland, Spain and UK. The difference in welfare between food hypersensitive respondents and those asymptomatic to foods was estimated using a subjective welfare approach, including income evaluation. Well-being was measured using the Cantril Ladder-of-Life Scale, and health status using the Self-Perceived Health Scale. The difference in well-being, welfare and health status between participant groups was explained further using a number of background variables. No significant within-country differences in welfare between food hypersensitive respondents and respondents asymptomatic to foods were found. In terms of well-being, adult food hypersensitive respondents and their spouses reported significantly less happiness than respondents and their spouses asymptomatic to foods in the Netherlands and Poland. In Spain, the spouses of the food hypersensitive respondents were significantly less happy than respondents aymptomatic to foods. The well-being of children did not significantly differ between groups. The degree of severity of food hypersensitivity was negatively related to overall health status. In Poland, food hypersensitive respondents reported worse health status compared to asymptomatic respondents. In Spain, the converse was true. Food hypersensitive respondents were generally less happy with their life as a whole than respondents asymptomatic to foods, presumably because they experienced more negative effects, which were not related to perceived health status.     

An empirical comparison of Canonical Correspondence Analysis and STATICO in the identification of spatio-temporal ecological relationships

The wide-ranging and rapidly evolving nature of ecological studies mean that it is not possible to cover all existing and emerging techniques for analyzing multivariate data. However, two important methods enticed many followers: the Canonical Correspondence Analysis (CCA) and the STATICO analysis. Despite the particular characteristics of each, they have similarities and differences, which when analyzed properly, can, together, provide important complementary results to those that are usually exploited by researchers. If on one hand, the use of CCA is completely generalized and implemented, solving many problems formulated by ecologists, on the other hand, this method has some weaknesses mainly caused by the imposition of the number of variables that is required to be applied (much higher in comparison with samples). Also, the STATICO method has no such restrictions, but requires that the number of variables (species or environment) is the same in each time or space. Yet, the STATICO method presents information that can be more detailed since it allows visualizing the variability within groups (either in time or space). In this study, the data needed for implementing these methods are sketched, as well as the comparison is made showing the advantages and disadvantages of each method. The treated ecological data are a sequence of pairs of ecological tables, where species abundances and environmental variables are measured at different, specified locations, over the course of time.     

The HOPE Family Project: A Family-Based Group Intervention to Reduce the Impact of Homelessness on HIV/STI and Drug Risk Behaviors

The HOPE Family Project (HIV Prevention for Parents and Early Adolescents) is an eight- session, family-based group intervention modeled on three evidence-based curricula targeting HIV/AIDS and alcohol and drug abuse prevention. The design and implementation of the HOPE Family Project was carried out by an established community collaborative board. The project aims to educate and provide tailored support to families and their youth (ages 11–14), residing in homeless shelters, regarding HIV and alcohol abuse prevention. The group model proved successful in offering an informal social support network for families living in homeless shelters and improving family functioning and youth mental health outcomes.     

Where It's At! The Role of Best Friends and Peer Group Members in Young Adults' Alcohol Use

We examined the hypothesis that best friends and members from a broader peer group would not differ in the amount of influence they have on young adults' alcohol consumption and that what counts would be the mere presence of drinking peers in a given context—irrespective of the type of relationship such peers would have with the target young adult. Data were used from a naturalistic observation study that was conducted in a “bar‐lab” among 221 young adults aged 18–25 years. Both hierarchical and multilevel regression analyses showed that group effects (i.e., average group levels of alcohol consumption) explained young adults' drinking. When taking into account these group effects, best friends' alcohol consumption in the bar‐lab was a nonsignificant predictor of young adults' alcohol use—although best friends' questionnaire‐assessed drinking did predict alcohol consumption in the bar‐lab.     

Mapping social work education in the West Africa region: Movements toward indigenization in 12 countries’ training programs

This article presents the results of a systematic mapping of social work training programs in countries throughout West Africa, a region historically under‐represented in global discussions of the social welfare workforce. The research illuminates how social workers and related professionals are trained to engage in social work practice in a number of West African countries. The research was conducted in two phases. In the initial phase, the research team collected documents from 12 West African countries and conducted phone interviews with relevant individuals. The second phase included field research in five West African countries ? Burkina Faso, Côte d’Ivoire, Ghana, Nigeria, and Senegal ? where the research team conducted semi‐structured interviews and group discussions with 253 individuals. Framed by indigenization theory, this study describes social service training institutes in West Africa and highlights the varying degrees to which programs have been adapted to indigenous and endogenous realities in the postcolonial era.     

Performance and burnout in intensive care units

Abstract

The relationship between three different performance measures and burnout was explored in 20 Dutch Intensive Care Units (ICUs). Burnout (i.e. emotional exhaustion and depersonalization) proved to be significantly related to nurses' perceptions of performance as well as to objectively assessed unit performance. Subjective performance measures relate negatively to burnout levels of nurses, whereas an objective performance measure relates positively to burnout. Furthermore, subjectively assessed personal performance (i.e. personal accomplishment) is more strongly related to burnout than subjectively assessed unit performance. A model test of the relationship between both types of subjective performance and burnout reveals that nurses' perception of unit performance is indirectly related to burnout through perception of personal performance. This model holds similarly for objectively well- and poor-performing ICUs.     

Exploring Wider Well-Being in the EU-15 Countries: An Empirical Application of the Stiglitz Report

We draw on the recommendations of the Stiglitz Report to select a set of economic and social variables that can be used to make cross-country comparisons of wider well-being. Using data for the EU-15 countries for 1999 and 2005, we show how three-way analysis can be used to extract synthetic information from a large data set to determine the main latent explanatory factors. In our case, we identify one dominant factor that we term the development profile, which is positively associated with the level of education outputs, technological progress and female labour market participation and negatively associated with the level of pollution. We rank the countries according to this factor and compare these rankings with simpler GDP comparisons and find that the two rankings are only weakly correlated.     

CO-tucker: a new method for the simultaneous analysis of a sequence of paired tables

Relationships between species and their environment are a key component to understand ecological communities. Usually, this kind of data are repeated over time or space for communities and their environment, which leads to a sequence of pairs of ecological tables, i.e. multi-way matrices. This work proposes a new method which is a combined approach of STATICO and Tucker3 techniques and deals to the problem of describing not only the stable part of the dynamics of structure–function relationships between communities and their environment (in different locations and/or at different times), but also the interactions and changes associated with the ecosystems’ dynamics. At the same time, emphasis is given to the comparison with the STATICO method on the same (real) data set, where advantages and drawbacks are explored and discussed. Thus, this study produces a general methodological framework and develops a new technique to facilitate the use of these practices by researchers. Furthermore, from this first approach with estuarine environmental data one of the major advantages of modeling ecological data sets with the CO-TUCKER model is the gain in interpretability.