On the difficulty of making social choices

The difficulty of making social choices seems to take on two forms: one that is related to both preferences and the method used in aggregating them and one which is related to the preferences only. In the former type the difficulty has to do with the discrepancies of outcomes resulting from various preference aggregation methods and the computation of winners in elections. Some approaches and results which take their motivation from the computability theory are discussed. The latter institution-free type of difficulty pertains to solution theory of the voting games. We discuss the relationships between various solution concepts, e.g. uncovered set, Banks set, Copeland winners. Finally rough sets are utilized in an effort to measure the difficulty of making social choices.     

Catholicism, Job Security Regulations and Female Employment: A Micro-level Analysis of Esping-Andersen's Social Catholicism Thesis

This article explores the religious roots of job security regulations in Western democracies by putting Esping-Andersen's famous social Catholicism thesis to the test. Esping-Andersen argues that due to religious socialization, Catholics exhibit more conservative family values, i.e. they tend to support the male breadwinner model. To sustain this model of family organization, Catholics are expected to support job security regulations. These regulations have been described in the literature as important determinants of gender-segregated labour markets and low female employment rates. Data from this article show that while Catholics indeed support more conservative family models, so do Reformed Protestants and religious persons in general. Furthermore, no relationship between religious denomination and preferences for job security regulations can be observed. The analysis thus refutes Esping-Andersen's social Catholicism thesis.     

An Approximate Bayesian Marginal Likelihood Approach for Estimating Finite Mixtures

Estimation of finite mixture models when the mixing distribution support is unknown is an important problem. This article gives a new approach based on a marginal likelihood for the unknown support. Motivated by a Bayesian Dirichlet prior model, a computationally efficient stochastic approximation version of the marginal likelihood is proposed and large-sample theory is presented. By restricting the support to a finite grid, a simulated annealing method is employed to maximize the marginal likelihood and estimate the support. Real and simulated data examples show that this novel stochastic approximation and simulated annealing procedure compares favorably with existing methods.     

An improved algorithm for the triples test

An algorithm, in the form of a Fortran subroutine TRIPLE, is given to compute statistics for the triples test for symmetry, The computational complexity of the algorithm is O(n²) which is an improvement over the straight for ward method, which is O(n³).     

An L1-type estimator of multivariate location and shape

The main goal of the paper is to specify a suitable multivariate multilevel model for polytomous responses with a non-ignorable missing data mechanism in order to determine the factors which influence the way of acquisition of the skills of the graduates and to evaluate the degree programmes on the basis of the adequacy of the skills they give to their graduates. The application is based on data gathered by a telephone survey conducted, about two years after the degree, on the graduates of year 2000 of the University of Florence. A multilevel multinomial logit model for the response of interest is fitted simultaneously with a multilevel logit model for the selection mechanism by means of maximum likelihood with adaptive Gaussian quadrature. In the application the multilevel structure has a crucial role, while selection bias results negligible. The analysis of the empirical Bayes residuals allows to detect some extreme degree programmes to be further inspected.     

Studying Complexity of Model-based Clustering

Cluster analysis is a popular statistics and computer science technique commonly used in various areas of research. In this article, we investigate factors that can influence clustering performance in the model-based clustering framework. The four factors considered are the level of overlap, number of clusters, number of dimensions, and sample size. Through a comprehensive simulation study, we investigate model-based clustering in different settings. As a measure of clustering performance, we employ three popular classification indices capable of reflecting the degree of agreement in two partitioning vectors, thus making the comparison between the true and estimated classification vectors possible. In addition to studying clustering complexity, the performance of the three classification measures is evaluated.     

Job loss and family adjustments in work and schooling during the Mexican peso crisis

We use individual data from a panel of families during the depth of the peso crisis in Mexico to investigate whether the transition of the male household head from employment into unemployment affects the labor force participation of his spouse and children. We find that significant added-worker effects are in operation especially for adult females (wives), but no evidence that the labor force participation, the school attendance, and the likelihood of advancing to the next school grade of teenage males are influenced by the event of unemployment of the household head. The head's unemployment is significantly associated with a higher probability that teenage females do not attend school. However, lower attendance does not appear to impede their advancement to the next grade.

Self-Stigma of seeking help and job burnout in mental health care providers: the comparative study of Lithuanian and the USA samples

This study aimed to explore the correlation between job burnout and self-stigma of seeking help among nonmedical mental health care providers (psychologists, social workers, and counselors) in two countries – Lithuania and the US. The study included 234 professionals (111 social workers and 123 psychologists) from Lithuania and 93 professionals (33 counselors, 23 social workers, and 37 psychologists) from the US on a voluntary basis (93% females, mean age – 39.81?years). They completed a self-reported questionnaire with the Self-Stigma of Seeking Help Scale (SSOSH) and the Maslach Burnout Inventory-General Survey (MBI-GS). The results revealed a statistically significant positive correlation between self-stigmatization and burnout in the Lithuanian sample, but only weak positive correlation between depersonalization and self-stigma of seeking help in the US sample. The relationship between the self-stigma of seeking help and burnout was stronger in the Lithuanian sample of professionals when compared to their colleagues in the US.     

成都市实现充分就业的供需平衡分析与对策研究

本文在对“十一五”期间成都市劳动力市场上的劳动力供给规模与现有经济发展趋势下的就业市场需求预测的基础上,明确了成都市实现充分就业的难点在于劳动力市场上大量的劳动力供给与有限的就业岗位之间的矛盾。为此,较针对性地提出了实现充分就业的若干思路和措施。     

Love in Times of Cholera: Systemic Reflections on Supporting Families Through the Journey(s) of Illness

This paper is the result of our increasing interest in the experience of illness in families and the concomitant reflections on how best to therapeutically support these families through this process. This interest led us to reflect on the nuanced way in which language establishes a play with the experience of illness, a play that can amplify or reduce its effects. Such an interplay in turn led us to consider the valuable role that family therapists have in helping families and treating practitioners to create a safe space for conversation about illness. Further questions are also explored in relation to whether there is a role for family therapists in facilitating the interface between our clinical practice with clients and the wider treating medical community. And, if so, what shape would such an interface take? Considerations at this level would include the anticipation of psychological reactions to diagnosis of chronic and life‐threatening illnesses, in particular the importance of ‘normalisation’ of the psychological reactions to such chronic and/or life threatening diagnoses; the complex dynamics emerging from the interface between the effects of illness in the subjectivity of the ill person and the grief experienced by the other family members; different family members’ narratives of the illness; relevant community contexts; and, lastly, ways to help the family members and/or the ill person navigate the medical system including the use of second opinions, cyberspace information, and other systems in their ecology, such as the spiritual dimension. Some aspects of children's narratives of illness are also identified. The paper has been organised around the dialogue that the authors had around one of their clinical cases.