An evaluation of the childhood family structure measures from the sixth wave of the British Household Panel Survey

Summary.  The paper performs an evaluation of the data that were collected in the sixth wave of the British Household Panel Survey (BHPS) on childhood family structure. After comparing such data with a large number of studies by using external sources, we find that the BHPS data overestimate the proportion of people who report an experience of life in a non-intact family during childhood by about 10%. Although an explanation based on recall error that deteriorates with the age of the BHPS respondents is possible, the overestimation is likely to be accounted for by non-ignorable attrition that may affect most of the comparison studies based on longitudinal data. Conversely, comparisons with other independent measurements from the BHPS itself reveal that the wave 6 data underestimate the proportion of young people who have lived at least part of their childhood in a non-intact family by about 8%. The probability of disagreement between these two sets of measures is strongly associated with poor interview characteristics, which may affect the comparison measure more than the wave 6 measure. Despite such differences, there is therefore a substantial degree of similarity between the family structure information that was collected in the sixth wave of the BHPS and the host of highly diverse records against which it has been compared.     

Asian Women,Job Training and the Social Organization of Immigrant Labor Markets

This paper examines the entry of Asian immigrant women into a gendered labor market via government-funded job training programs. The focus is on the intake processing of clients into an employment training program operated by a community based organization. The study reveals that women's family responsibilities and the cultural capital they bring function to screen them into or out of training programs and ultimately shape their location in the workforce. The study thus draws attention to how race, class, and gender enter into the organization of Asian immigrant women into the labor market. This investigation is based in institutional ethnography (Smith 1987), a research strategy which displays how activities in a particular setting are coordinated with more extended forms of social organization. The study shows that the overriding concern with successful placement in a job as mandated by government regulations is a critical factor in selecting the women for these programs.     

后WTO时期外资银行对中资银行影响分析及其路径选择

后WTO时期,我国金融业开放程度不断加深,外资银行正以前所未有的深度融入我国金融体系。外资银行的进入,将从总体上提升我国银行系统效率,但同时也不可避免地带来客户资源、银行业务、服务手段、人力资源等方面的冲击,为此,应通过完善金融体系、提高整体实力、培育新生力量及加强合作等策略增强中资银行抗击外资银行的实力,引导中资银行健康发展。     

中国西部突厥语民族创世神话母题文化阐释

本文以中国西部突厥语民族代表性创世神话为例,分析这类创世神话与人类在起源上相关性神话母题的特征和突厥语族创世神话呈现出的在特定历史、宗教背景下的文化形态,探讨了在这些神话中渗透出的鲜明的民族性和浓厚的地方特色,阐释了西部突厥语族创世神话母题的文化意义。     

Suspicious minds: local context and attitude variation across Swedish municipalities

Johansson Sevä I. Suspicious minds: local context and attitude variation across Swedish municipalities
Int J Soc Welfare 2010: 19: 225–235 © 2009 The Author(s), Journal compilation © 2009 Blackwell Publishing Ltd and the International Journal of Social Welfare. This article investigates whether degree of suspicion of welfare abuse relates to local context in Sweden. It is suggested that certain features of Swedish municipalities can create a local information bias influencing individual suspicion of welfare abuse. Prevalence of social problems and political climate are features of the municipal context having the potential to influence opinion formation. Social problems are captured by local unemployment, social assistance and ill‐health rates. Political climate is captured by electoral support for conservatives. The results indicate that local context can influence suspicion of welfare abuse, contexts where social problems are widespread reduce such suspicion. While local political climate seems important in itself, it also interacts with social problem level, increasing suspicion if a conservative political climate and social problems coexist. While social problems seem to generate less suspicion regarding social policy abuse, they also provide ‘raw material’ for political rhetoric regarding suspicion.     

ASSESSING THE RELATIONSHIP BETWEEN SYMPTOMS OF ALLERGIC RHINOCONJUNCTIVITIS AND POLLEN COUNTS

The relationship between daily pollen counts during the peak pollen season and hay fever symptoms in known sufferers of pollen allergy was investigated in a Sydney hospital‐based study. This paper develops statistical models for both the short term (day to day) associations and the longer term relationships between these time series. Possible effects of asthma status are investigated. The analyses illustrate how different relationships between time series may be explored in a simple way by working on different time scales with suitably transformed variables.     

Bayesian inference for generalized additive mixed models based on Markov random field priors

Most regression problems in practice require flexible semiparametric forms of the predictor for modelling the dependence of responses on covariates. Moreover, it is often necessary to add random effects accounting for overdispersion caused by unobserved heterogeneity or for correlation in longitudinal or spatial data. We present a unified approach for Bayesian inference via Markov chain Monte Carlo simulation in generalized additive and semiparametric mixed models. Different types of covariates, such as the usual covariates with fixed effects, metrical covariates with non-linear effects, unstructured random effects, trend and seasonal components in longitudinal data and spatial covariates, are all treated within the same general framework by assigning appropriate Markov random field priors with different forms and degrees of smoothness. We applied the approach in several case-studies and consulting cases, showing that the methods are also computationally feasible in problems with many covariates and large data sets. In this paper, we choose two typical applications.     

Random regression models for human immunodeficiency virus ribonucleic acid data subject to left censoring and informative drop-outs

Objectives in many longitudinal studies of individuals infected with the human immunodeficiency virus (HIV) include the estimation of population average trajectories of HIV ribonucleic acid (RNA) over time and tests for differences in trajectory across subgroups. Special features that are often inherent in the underlying data include a tendency for some HIV RNA levels to be below an assay detection limit, and for individuals with high initial levels or high ranges of change to drop out of the study early because of illness or death. We develop a likelihood for the observed data that incorporates both of these features. Informative drop-outs are handled by means of an approach previously published by Schluchter. Using data from the HIV Epidemiology Research Study, we implement a maximum likelihood procedure to estimate initial HIV RNA levels and slopes within a population, compare these parameters across subgroups of HIV-infected women and illustrate the importance of appropriate treatment of left censoring and informative drop-outs. We also assess model assumptions and consider the prediction of random intercepts and slopes in this setting. The results suggest that marked bias in estimates of fixed effects, variance components and standard errors in the analysis of HIV RNA data might be avoided by the use of methods like those illustrated.     

Rejoinder to 'Ahmed, M.S. (1998). A note on regression-type estimators using multiple auxiliary information.'

In the estimators t ₃ , t ₄ , t ₅ of Mukerjee, Rao & Vijayan (1987), b _{y x} and b _{y z} are partial regression coefficients of y on x and z , respectively, based on the smaller sample. With the above interpretation of b _{y x} and b _{y z} in t ₃ , t ₄ , t ₅ , all the calculations in Mukerjee at al. (1987) are correct. In this connection, we also wish to make it explicit that b _{x z} in t ₅ is an ordinary and not a partial regression coefficient. The 'corrected' MSEs of t ₃ , t ₄ , t ₅ , as given in Ahmed (1998 Section 3) are computed assuming that our b _{y x} and b _{y z} are ordinary and not partial regression coefficients. Indeed, we had no intention of giving estimators using the corresponding ordinary regression coefficients which would lead to estimators inferior to those given by Kiregyera (1984). We accept responsibility for any notational confusion created by us and express regret to readers who have been confused by our notation. Finally, in consideration of the above, it may be noted that Tripathi & Ahmed's (1995) estimator t ₀ , quoted also in Ahmed (1998), is no better than t ₅ of Mukerjee at al. (1987).     

Practical Maximum Pseudolikelihood for Spatial Point Patterns(with Discussion)

This paper describes a technique for computing approximate maximum pseudolikelihood estimates of the parameters of a spatial point process. The method is an extension of Berman & Turner's (1992) device for maximizing the likelihoods of inhomogeneous spatial Poisson processes. For a very wide class of spatial point process models the likelihood is intractable, while the pseudolikelihood is known explicitly, except for the computation of an integral over the sampling region. Approximation of this integral by a finite sum in a special way yields an approximate pseudolikelihood which is formally equivalent to the (weighted) likelihood of a loglinear model with Poisson responses. This can be maximized using standard statistical software for generalized linear or additive models, provided the conditional intensity of the process takes an 'exponential family' form. Using this approach a wide variety of spatial point process models of Gibbs type can be fitted rapidly, incorporating spatial trends, interaction between points, dependence on spatial covariates, and mark information.