Noninformative priors for the between-group variance in the unbalanced one-way random effects model with heterogeneous error variances

For the unbalanced one-way random effects model with heterogeneous error variances, we propose the non-informative priors for the between-group variance and develop the first- and second-order matching priors. It turns out that the second-order matching priors do not exist and the reference prior and Jeffreys prior do not satisfy a first-order matching criterion. We also show that the first-order matching prior meets the frequentist target coverage probabilities much better than the Jeffreys prior and reference prior through simulation study, and the Bayesian credible intervals based on the matching prior and reference prior give shorter intervals than the existing confidence intervals by examples.     

The Welfare State as Safety Net in Migration Preferences: Empirical Evidence from an Experiment Among Dutch Master Students

Population Research and Policy Review - The welfare state can be perceived as a safety net which helps individuals adjust to situations of risk or transition. Starting from this idea of the welfare...     

Hill estimator of projections of functional data on principal components

Functional principal component scores are commonly used to reduce mathematically infinitely dimensional functional data to finite dimensional vectors. In certain applications, most notably in finance, these scores exhibit tail behaviour consistent with the assumption of regular variation. Knowledge of the index of the regular variation, α, is needed to apply methods of extreme value theory. The most commonly used method of the estimation of α is the Hill estimator. We derive conditions under which the Hill estimator computed from the sample scores is consistent for the tail index of the unobservable population scores.     

The price of a loaf of bread: some conceptions of family support*

This paper reports on a case study of one local authority, and illustrates the different definitions of the term ‘family support’ employed by the different agencies within the authority. It provides a framework to analyse the contribution of the agencies according to the assumptions they make about methods and efficacy of intervention and access to and termination of intervention. It contrasts the findings from this framework with a needs based model of ‘family support’. Social work and health services tend to operate within a narrow, historically determined range, focusing most heavily on emotional support and behavioural change; whereas users and some of the other agencies are more likely to raise matters such as income maintenance, child care, leisure and education. The findings of the case study are discussed in relation to resources for families, key issues for the implementation of family support identified during the introduction of the Children Act, 1989, and the relevance of Social Services Inspectorate inspections to these issues. Copyright © 2002 John Wiley & Sons, Ltd.     

Adolescent Protective Factors Promoting Resilience in Young Adults at Risk for Depression

In a longitudinal, community-based study, adolescent protective factors for those at risk for depression were identified that were associated with resilient outcomes in young adulthood. For those with childhood risk factors for major depression, significant protective factors included family cohesion, positive self appraisals, and good interpersonal relations. Findings may help inform the development of prevention and treatment programs for adolescents vulnerable to depression. Implications for future research and clinical practice are discussed.     

Two-stage Huber estimation

In this paper we propose a new robust estimator in the context of two-stage estimation methods directed towards the correction of endogeneity problems in linear models. Our estimator is a combination of Huber estimators for each of the two stages, with scale corrections implemented using preliminary median absolute deviation estimators. In this way we obtain a two-stage estimation procedure that is an interesting compromise between concerns of simplicity of calculation, robustness and efficiency. This method compares well with other possible estimators such as two-stage least-squares (2SLS) and two-stage least-absolute-deviations (2SLAD), asymptotically and in finite samples. It is notably interesting to deal with contamination affecting more heavily the distribution tails than a few outliers and not losing as much efficiency as other popular estimators in that case, e.g. under normality. An additional originality resides in the fact that we deal with random regressors and asymmetric errors, which is not often the case in the literature on robust estimators.     

Young People who have Sexually Abused: What do they (and their parents) want from Professionals?

This article presents the findings of a small scale qualitative study of user perspectives in the adolescent sexual aggression field. Twenty four service users who had received intervention from nine different specialist providers completed a structured questionnaire about their experiences of professional involvement. Both young people who had sexually abused and parents identified the kinds of professional intervention which they found useful, as well as practices that they experienced as unhelpful. Young people and their families alike were found to value supportive interventions which gave them an opportunity to gain insight into the nature of sexual abuse as well to address their own feelings about their problems.