The comfort of strangers: social work practice with unaccompanied asylum-seeking children and young people in the UK

Unaccompanied children and young people seeking sanctuary as political refugees are increasingly visible within many industrialized nations, where several studies confirm their vulnerability and needs. These studies also highlight what appears to be the poor quality of social work services and practices that these minors encounter. This paper examines some of the details contained in such reports of deficiency and seeks to place them within a more optimistic appraisal of social work practice. Based on a small research study, it suggests that resettlement for unaccompanied minors is complex and contains different types of loss as well as gain. It also asserts that practice by some social workers shows they have a grasp of this complexity as they offer practical assistance, therapeutic care and companionship to the young people to help them resettle in new environments.     

Simultaneous estimation of λs for poisson distributions

Consider the problem of simultaneously estimating an integral power of the parameters of POISSOK populations using independent samples. Let the loss be the sum of quadratic losses for the components. An estimator which is better than the unbiased esti¬mator is obtained     

Does Good Governance Enhance Happiness: A Cross Nation Study

The purpose of this paper is to analyze the efficiency of the countries over the period of 10 years by applying data envelopment analysis (DEA). Based on rational and factual parameters such as freedom of press, freedom of religion, percentage of export in Gross Domestic Product (GDP), index of globalization, life expectancy at birth, gender ratio etc., this paper attempts to measure the efficiency of happiness. A combination of social and economic factors has been used to measure technical efficiency. The contribution of this paper is twofold. First, it measures the relative efficiency of all the countries included in the study. The nations have been ranked as per their relative efficiency and the peer group has been formed. Second a comparison between the rich and the poor countries have been done to test empirically whether the economic growth enhances the happiness among people. Presently, more than 3,000 studies have been published on happiness and Veenhoven in 2004 created a database called World Database of Happiness. The World Database of Happiness has attempted to present the available research findings on happiness. Part of the findings on happiness in nations is available in ‘States of nations’. For the research purpose, States of Nations and the data published by have been considered. Although happiness has been quantified and the existing literature has sufficient empirical evidences of the same, in the present context, the relative efficiency has been calculated for the countries on basis of objective and subjective happiness parameters. As per the literature, happiness has two aspects (1) objective and (2) subjective. Objective parameters are external to the individuals and covers material living parameters viz. GDP growth, income, nutrition, mortality rate, literacy etc. However, Subjective indicators measure the quality of life of the individuals. These are summarized as ‘‘subjective well-being’’. The various parameters considered in the study capture different aspects of happiness. The result shows how the government can increase the happiness of the people by analyzing the behavior and expectations. People express their preference explicitly about political parties, religion believes, law and order situation, trust in official institutions etc. Although, the behavior of people largely depends upon availability of goods and services in the market, the government can make budgets according to priority or preferences of people. Another way to increase happiness can be done by analyzing the peer group, which is an outcome of DEA. This shows the nations which are similar in terms of their economic and social conditions. The government can compare the prevailing conditions in different countries that improve the condition in their respective country. This could be an effective method as some of the parameters can be replicable in order to make people happier. The limitation of this study is lack of availability of data for many countries. As the number of countries increases, a change in the relative efficiency can be observed. Therefore, a future study can be conducted where the relevant data can be collected and a more global result can be obtained.     

Community and anti-poverty targeting

The standard theory of anti-poverty targeting assumes individual incomes cannot be observed, but statistical properties of income distribution in broadly defined groups are known. ‘Indicator targeting’ rules are then derived for the forms of transfers conditioned on group membership of individuals. In this literature the motivating notion of a ‘group’ is purely statistical, even when it is groups such as localities and ethnicities. We focus instead on groups which are ‘communities’, meaning thereby collections of individuals who have access to community-specific public goods, from which non-members are excluded. Such differential access constitutes a source of inequality among poor individuals belonging to different communities, which is not captured by monetary earnings. We show that this formulation of what constitutes a group changes many of the basic results of the indicator targeting literature. Optimal targeting for poverty alleviation leads to seemingly paradoxical rules, such as targeting transfers to the community that is richer. Total wealth of non-poor members of a community and its distribution both become relevant for specifying optimal indicator targeting rules. In addition, a poverty measure that is sensitive to the community identities of poor individuals, yet defined on nominal incomes, may be incompatible with some of the basic axioms in the standard literature on poverty measurement.     

Uncertainties in Biologically-Based Modeling of Formaldehyde-Induced Respiratory Cancer Risk: Identification of Key Issues

In a series of articles and a health-risk assessment report, scientists at the CIIT Hamner Institutes developed a model (CIIT model) for estimating respiratory cancer risk due to inhaled formaldehyde within a conceptual framework incorporating extensive mechanistic information and advanced computational methods at the toxicokinetic and toxicodynamic levels. Several regulatory bodies have utilized predictions from this model; on the other hand, upon detailed evaluation the California EPA has decided against doing so. In this article, we study the CIIT model to identify key biological and statistical uncertainties that need careful evaluation if such two-stage clonal expansion models are to be used for extrapolation of cancer risk from animal bioassays to human exposure. Broadly, these issues pertain to the use and interpretation of experimental labeling index and tumor data, the evaluation and biological interpretation of estimated parameters, and uncertainties in model specification, in particular that of initiated cells. We also identify key uncertainties in the scale-up of the CIIT model to humans, focusing on assumptions underlying model parameters for cell replication rates and formaldehyde-induced mutation. We discuss uncertainties in identifying parameter values in the model used to estimate and extrapolate DNA protein cross-link levels. The authors of the CIIT modeling endeavor characterized their human risk estimates as "conservative in the face of modeling uncertainties." The uncertainties discussed in this article indicate that such a claim is premature.     

Effects of Uncertainties on Exposure Estimates to Methylmercury: A Monte Carlo Analysis of Exposure Biomarkers versus Dietary Recall Estimation

This article presents a general model for estimating population heterogeneity and "lack of knowledge" uncertainty in methylmercury (MeHg) exposure assessments using two-dimensional Monte Carlo analysis. Using data from fish-consuming populations in Bangladesh, Brazil, Sweden, and the United Kingdom, predictive model estimates of dietary MeHg exposures were compared against those derived from biomarkers (i.e., [Hg]hair and [Hg]blood). By disaggregating parameter uncertainty into components (i.e., population heterogeneity, measurement error, recall error, and sampling error) estimates were obtained of the contribution of each component to the overall uncertainty. Steady-state diet:hair and diet:blood MeHg exposure ratios were estimated for each population and were used to develop distributions useful for conducting biomarker-based probabilistic assessments of MeHg exposure. The 5th and 95th percentile modeled MeHg exposure estimates around mean population exposure from each of the four study populations are presented to demonstrate lack of knowledge uncertainty about a best estimate for a true mean. Results from a U.K. study population showed that a predictive dietary model resulted in a 74% lower lack of knowledge uncertainty around a central mean estimate relative to a hair biomarker model, and also in a 31% lower lack of knowledge uncertainty around central mean estimate relative to a blood biomarker model. Similar results were obtained for the Brazil and Bangladesh populations. Such analyses, used here to evaluate alternative models of dietary MeHg exposure, can be used to refine exposure instruments, improve information used in site management and remediation decision making, and identify sources of uncertainty in risk estimates.     

Compliance Strategies under Permits for Emissions

We characterize the trade‐offs among firms' compliance strategies in a market‐based program where a regulator interested in controlling emissions from a given set of sources auctions off a fixed number of emissions permits. We model a three‐stage game in which firms invest in emissions abatement, participate in a share auction for permits, and produce output. We develop a methodology for a profit‐maximizing firm to derive its marginal value function for permits and translate this value function into an optimal bidding strategy in the auction. We analyze two end‐product market scenarios independent demands and Cournot competition. In both scenarios we find that changing the number of available permits influences abatement to a lesser extent in a dirty industry than in a cleaner one. In addition, abatement levels taper off with increasing industry dirtiness levels. In the presence of competition, firms in a relatively clean industry can, in fact, benefit from a reduction in the number of available permits. Our findings are robust to changes in certain modeling assumptions.     

Extended Producer Responsibility for E‐Waste: Individual or Collective Producer Responsibility?

We investigate the implications of collective and individual producer responsibility (CPR and IPR, respectively) models of product take‐back laws for e‐waste on manufacturers’ design for product recovery (DfR) choices and profits, and on consumer surplus in the presence of product competition. We show that IPR offers superior DfR incentives as compared to CPR, and provides a level competitive ground. CPR may distort competition and allow free‐riding on DfR efforts to reduce product recovery costs. Thus, manufacturer preferences for IPR or CPR may differ because of the free‐riding implications under CPR, with even high‐end manufacturers having incentives to free‐ride under certain competitive conditions. The policy choice between IPR and CPR is not clear cut from an economic welfare perspective. This choice involves a comparison between the effects of superior recovery cost reduction through improved DfR under IPR and the operational cost‐efficiency under CPR.     

When it is better to give than to receive: Children's giving and happiness

Humans experience emotional benefits from engaging in prosocial behavior. The current work investigates factors that influence the experience of happiness from giving to others in early childhood. In three studies with 5-year-olds (N = 144), we find that young children are happier from giving resources to others than from receiving resources for themselves (Study 1) and investigate when children are most happy from giving. In Study 2, children were happier when they could see the beneficiary's positive reaction, suggesting that empathizing with the beneficiary's positive emotion contributes to happiness (consistent with the concept of vicarious-joy). In Study 3, children were happier after they gave resources than when they watched someone else give resources, indicating that being responsible for prosocial action contributes to children's happiness (consistent with the concept of warm-glow). These results provide a critical step toward understanding when children experience happiness from giving and a foundation for investigating happiness as a mechanism supporting early prosociality.