Too risk averse to purchase insurance?

This paper suggests a new explanation for the low level of annuitization, which is valid even if one assumes perfect markets. We show that, as soon there is a positive bequest motive, sufficiently risk averse individuals should not purchase annuities. A model calibration accounting for lifetime risk aversion generates a significantly smaller willingness-to-pay for annuities than the one generated by a standard time-additive model. Moreover, the calibration predicts that riskless savings finance one third of consumption, in line with empirical findings.     

Key decisions in child protection services in cases of domestic violence: maintaining services and out‐of‐home placement

This paper looks at the response of the child protection services (CPS) system in cases where exposure to domestic violence occurs alone or together with abuse or neglect, focusing on the factors involved in decisions to maintain the case open for ongoing services or remove children from the home. The study is based on an analysis of clinical and administrative data from the files on children reported to a CPS agency in Montreal, Canada. A total of 1 071 substantiated reports were documented, including 337 cases of co‐occurrence (32%). Analysis of the data shows that domestic violence does not by itself constitute a factor liable to lead to more intrusive intervention. The CPS response appears to be influenced more by the existence of other forms of maltreatment and risk factors. Additionally, while domestic violence may be associated with more severe individual and family problems, it does not influence the decision to keep the case open because the child still need services. The lack of any connection between domestic violence and this decision is a cause for concern, as results indicate that such families need help. Knowing how to respond to their needs therefore remains a major challenge.     

Positive and negative impacts of job loss on family life: the perceptions of Australian car workers

This article contributes to research on the impact of job loss on families. It is based on survey responses from 371 workers and in‐depth interviews with 39 of them about the family impacts of their job loss from the Mitsubishi car factory in Adelaide in 2004–2005. A majority of workers said family life had been affected by their job loss. Quantitative analysis identified four variables significantly associated with family impacts: marital status, children living at home, employment status and financial management. Qualitative responses showed the predominantly negative impacts were financial strain, loss of relationship stability and general stress and worry, although few faced catastrophic impacts from their job loss. However, in contrast to most previous research, the in‐depth interviews also revealed positive impacts from job loss, such as having more time at home and to spend with their family. We conclude that the existence of ongoing income support and public health insurance in Australia were important in avoiding catastrophic financial impacts on these workers and their families.     

Efficient circular neighbour designs for spatial interference model

We consider circular block designs for field-trials when there are two-sided spatial interference between neighbouring plots of the same blocks. The parameter of interest is total effects that is the sum of direct effect of treatment and neighbour effects, which correspond to the use of a single treatment in the whole field. We determine universally optimal approximate designs. When the number of blocks may be large, we propose efficient exact designs generated by a single sequence of treatment. We also give efficiency factors of the usual binary block neighbour balanced designs which can be used when the number of blocks is small.     

An adaptive sequential Monte Carlo method for approximate Bayesian computation

Approximate Bayesian computation (ABC) is a popular approach to address inference problems where the likelihood function is intractable, or expensive to calculate. To improve over Markov chain Monte Carlo (MCMC) implementations of ABC, the use of sequential Monte Carlo (SMC) methods has recently been suggested. Most effective SMC algorithms that are currently available for ABC have a computational complexity that is quadratic in the number of Monte Carlo samples (Beaumont et al., Biometrika 86:983?C990, 2009; Peters et al., Technical report, 2008; Toni et al., J.?Roy. Soc. Interface 6:187?C202, 2009) and require the careful choice of simulation parameters. In this article an adaptive SMC algorithm is proposed which admits a computational complexity that is linear in the number of samples and adaptively determines the simulation parameters. We demonstrate our algorithm on a toy example and on a birth-death-mutation model arising in epidemiology.     

Child Advocacy Center Based Group Treatment for Child Sexual Abuse

The present study examines initial symptom presentation among participants, outcomes, and social validity for a group treatment for child sexual abuse delivered at a child advocacy center. Participants were 97 children and their nonoffending caregivers who were referred to Project SAFE (Sexual Abuse Family Education), a standardized, 12-week cognitive-behavioral group treatment for families who have experienced child sexual abuse. Sixty-four percent of children presented with clinically significant symptoms on at least one measure with established clinical cutoffs. Caregivers of children who presented with clinically significant symptoms reported more distress about their competence as caregivers. Children who presented as subclinical were more likely to have experienced intrafamilial sexual abuse. Posttreatment results indicated significant improvements in functioning for all children who participated in treatment, with greater improvements reported for children who initially presented with clinically significant symptoms. Overall, the program was rated favorably on the posttreatment evaluation of social validity.     

Social Movements and Europeanization Processes: The Case of the French Associations Mobilizing around the Asylum Issue

This paper seeks to analyse the process of Europeanization of social movements mobilizing around the asylum policy since the middle of the 1990s. Taking the example of the principal French associations which have mobilized on this topic, the paper explores the dynamics that lead these associations to increasingly address the European institutions since the launching of the process of harmonisation of asylum policies. In particular, it shows that particular attention shall be given to the relationship between the associations that have constituted at the national level and the set of actors that are mobilized on this issue exclusively at the European level (which is defined as a European advocacy coalition). Through the analysis of this relationship, it can be seen that the French associations follow different processes of Europeanization. Some follow a process of inclusion into the existing European advocacy coalition while others create alternative mobilizations at the European level. This study allows us to observe and to analyse the similarities and differences in the interactions between social movements and institutions in the national political space and in the European political space on this particular issue. In doing so, it seeks to present an original perspective on a process of ‘Europeanization from below’. This research is based on the in-depth analysis of 11 associations which are representative of the diversity of the movement related to the asylum issue in France. It uses different methods that were developed in social movements studies: frame analysis, protest-event analysis and network analysis. It is based on several sources: associative discourses and publications, in-depth interviews, and associative internal literature.     

Initial assessment: A key stage in social work intervention

Abstract

This paper examines the intake practices in child protection in the New South Wales Department of Community Services as a case study of initial assessment in social work intervention. Data was collected in three Department of Community Services local offices where 39 practitioners were interviewed about their child protection work practices. An observational study of the workers' intake practices was also undertaken for a period of approximately 110 days. While official Department of Community Services policy and procedures provided the basis for intake practice, this research found that other important factors relating to the informant, the characteristics of the frontline worker, the workplace environment and the context of child protection practice influenced the intake process. The implications of the research findings for other social work practice settings are considered.     

Quality of Web-based Information on Pathological Gambling

The present study aims to evaluate the quality of web-based information on gambling and to investigate potential content quality indicators. The following key words: gambling, pathological gambling, excessive gambling, gambling problem and gambling addiction were entered into two popular search engines: Google and Yahoo. Websites were assessed with a standardized proforma designed to rate sites on the basis of “accountability”, “presentation”, “interactivity”, “readability” and “content quality”. “Health on the Net” (HON) quality label, and DISCERN scale scores aiding people without content expertise to assess quality of written health publication were used to verify their efficiency as quality indicators. Of the 200 links identified, 75 websites were included. The results of the study indicate low scores on each of the measures. A composite global score appeared as a good content quality indicator. While gambling-related education websites for patients are common, their global quality is poor. There is a need for useful evidence-based information about gambling on the web. As the phenomenon has greatly increased, it could be relevant for Internet sites to improve their content by using global score as a quality indicator.