Forced to work and liberated from work

The work-welfare nexus is essential in all social policy regimes. The question is in what situations individuals should be entitled to social welfare benefits and in which situations they should be obliged to work. Social welfare law and administrative practices define mechanisms that separate the deserving poor from people able to work. This article analyses the functions and character of these "separation mechanisms" in Sweden during three periods in history: a) in rural society in the late 19th century; b) in industrial society during the successful years of the Swedish model from World War II until the late 1970s; and c) the present, including the period of welfare retrenchment and reconsideration since the early 1980s. The conclusion is that Swedish social policy has always been strongly work-oriented, but the specific form and content of the work ethic has varied under the influence of different ideologies and handled in different social policy institutions. Under specific conditions the work line has been either generous or restrictive and it has been based on structural attempts to improve the opportunities to work as well as on attempts to strongly pressure the individual to work. The work line of today is seen as an interesting attempt to combine an effort to create good work through improved work conditions and an effort to reinforce elements of work enforcement in the social insurance system.     

Report on the implementation and evaluation of an interprofessional learning programme for inter‐agency child protection teams

Effective collaborative working between the different professions and agencies working to safeguard children is essential. Lack of knowledge of others' roles, perceived differences in status and expertise, and negative stereotypes are examples of why this can be difficult to achieve. A facilitated interprofessional learning (IPL) programme was implemented to assess if such an intervention could overcome some of the barriers to effective interprofessional and inter‐agency team working. Six teams based in primary and secondary care trusts took part with participants from health, education, police and social services. Quantitative and qualitative data were collected from individual participants using a pre‐validated team climate inventory and reflective statements. Findings from this study demonstrate statistically significant changes in five out of six categories in the inventory. Reflective statements suggested that overall the programme offered a positive learning experience at both an individual and team level. The importance of outside facilitation to maintain the team's momentum was acknowledged, as was the difficulty of maintaining a good level of activity once the programme had ended. Nevertheless, the IPL programme provided a timely opportunity to reflect upon the interprofessional and inter‐agency team working needed within Children's Trusts and the implications for staff involved with regard to skills development. Copyright © 2009 John Wiley & Sons, Ltd.     

Market insurance,social insurance,and education

We show that social disability insurance may better society-wide welfare even when there is a perfect private market for similar insurance. In essence, the public system complements the private. The latter cover risks when personal characteristics are known, whereas the first mitigates effects of unfavorable characteristics. Large social insurance benefits will induce more education among agents with expected good health. These same agents also experience a negative redistributive income effect from social insurance. Incentive effects to redistribution are therefore nonstandard since individuals that are adversely affected by redistribution will respond with more educational vigor.This research has in part been supported by NRC-Ruhrgas. Comments from seminar participants at the German-Norwegian conference on the economics of social insurance in Bergen 1993, and particularly from two referees, whose comments largely improved the presentation, are appreciated.     

Estimating the proportion of true null hypotheses, with application to DNA microarray data

Summary.  We consider the problem of estimating the proportion of true null hypotheses, π ₀, in a multiple-hypothesis set-up. The tests are based on observed p -values. We first review published estimators based on the estimator that was suggested by Schweder and Spjøtvoll. Then we derive new estimators based on nonparametric maximum likelihood estimation of the p -value density, restricting to decreasing and convex decreasing densities. The estimators of π ₀ are all derived under the assumption of independent test statistics. Their performance under dependence is investigated in a simulation study. We find that the estimators are relatively robust with respect to the assumption of independence and work well also for test statistics with moderate dependence.     

Evaluation of an inter-organizational program for prevention of work-related injuries in a WHO Safe Community

OBJECTIVE: To evaluate the effect of a community-based injury prevention program on work-related injuries. STUDY DESIGN: A population-based quasi-experimental design was used with pre- and post-implementation measurements in an intervention and a control area. The program was based on cross-sectoral participation in detecting and taking action against work-related injuries. Change in the relative risk of injury was estimated by the odds ratio. RESULTS: The relative risk of work-related injury decreased following program exposure, whereas a tendence toward increase was observed in the control area. Middle-aged men accounted for the largest decrease in injury risk. Among the women, a decrease was observed only in the upper middle-aged group. No female-dominated occupational area showed a decrease in injury risk following exposure to the program. CONCLUSION: The study showed that the community-based approach had a general effect on the incidence of work-related injuries.     

Activation,medicalisation and inter-organisational cooperation in health insurance – implications for frontline social work in Sweden

This paper focuses on tensions between activation principles and medicalisation in the Swedish sickness insurance and its implications for frontline caseworkers in Social Security Agencies and Public Employment Services. The right to sickness cash benefits has become stricter and more conditioned upon the person’s work ability and employability. The paper describes recent policy changes towards activation and stricter entitlement criteria for sickness benefits policy and explores the consequences of such new activation policies in terms of changed work modes for caseworkers dealing with long-term sick people’s return-to-work process. It is concluded that on the one hand frontline work contains a significant portion of discretion and professional assessment of work abilities, and on the other hand rule-bound administrative work. Furthermore, frontline workers need to apply organisational professionalism as inter-organisational cooperation is required in order to support long-term sick people to return-to-work. Medicalisation of ill-health, manifested in the right to sickness benefits has not been substantially circumscribed by new activation policies in the sickness insurance.     

A finite mixture approach to joint clustering of individuals and multivariate discrete outcomes

In this work, we modify finite mixtures of factor analysers to provide a method for simultaneous clustering of subjects and multivariate discrete outcomes. The joint clustering is performed through a suitable reparameterization of the outcome (column)-specific parameters. We develop an expectation–maximization-type algorithm for maximum likelihood parameter estimation where the maximization step is divided into orthogonal sub-blocks that refer to row and column-specific parameters, respectively. Model performance is evaluated via a simulation study with varying sample size, number of outcomes and row/column-specific clustering (partitions). We compare the performance of our model with the performance of standard model-based biclustering approaches. The proposed method is also demonstrated on a benchmark data set where a multivariate binary response is considered.     

Penalized image averaging and discrimination with facial and fishery applications

In this paper we use a penalized likelihood approach to image warping in the context of discrimination and averaging. The choice of average image is formulated statistically by minimizing a penalized likelihood, where the likelihood measures the similarity between images after warping and the penalty is a measure of distortion of a warping. The notions of measures of similarity are given in terms of normalized image information. The measures of distortion are landmark based. Thus we use a combination of landmark and normalized image information. The average defined in the paper is also extended by allowing random perturbation of the landmarks. This strategy improves averages for discrimination purposes. We give here real applications from medical and biological areas.