The International Child Poverty Gap: Does Demography Matter?

According to the Luxembourg Income Study data, the U.S. child poverty rate is the second highest among 15 high-income nations. The present work reveals that 55% of all American children living in a household headed by a single female with no other adult present live in poverty-the highest rate for any of the five living arrangements in the 15 countries examined in this study. While previous analyses have focused on market forces and governmental redistribution across households, we question the contribution of demographic factors that place children in family structures with different poverty risks relative to other factors such as differential market opportunities and governmental benefits for adults caring for children in various living arrangements. Applying a classic demographic decomposition technique to the overall poverty gap, we find that the distributional effect of demographic behavior contributes little to the U.S. poverty gap with other nations (and none with respect to the United Kingdom). Overall differences in labor markets and welfare schemes best explain the U.S. child poverty gap, although for some countries, the gap is accentuated by the gradient of governmental transfers, and for most countries, by the gradient of market earnings across living arrangements.     

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.     

Impact of Hazardous Substances Regulations on Small Firms in Delaware and New Jersey

Regulations under the 1990 Amendments to the Clean Air Act impose significant requirements on firms handling hazardous chemicals. The nature of the regulations would suggest that small firms, because of limited resources and other structural limitations, would experience more difficulty complying with the regulations than large firms. To understand the difficulties imposed by the regulations on small firms, we interviewed ten small firms in Delaware and New Jersey, states with existing hazardous regulations similar to those being considered by the U.S. Environmental Protection Agency, and evaluated their responses to state regulations. The impacts of the environmental regulations on the firms and on the risk levels of their businesses are discussed. Propositions for research into small firms compliance are developed. Possible means for reducing the regulatory burden on small firms while enhancing regulatory effectiveness are suggested.     

On extending bock's model of logistic regression in the analysis of categorical data

A general class of multiple logistic regression models is reviewed and an extension is proposed which leads to restricted maximum likelihood estimates of model parameters. Examples of thegeneral model are given, with an emphasis placed on the interpretation of the parameters in each case.     

Conditional Information in Projections of Gaussian Vectors

Conditional information measures the information in a sample for an interest parameter in the presence of nuisance parameter. In the context of Gaussian likelihoods this paper first derives conditions under which a projection of the data may reduce conditional information to zero. These are then applied in the context of time series regressions, and inference on a covariance parameter, such as with either autoregressive or moving average errors. It is shown that regressing out very common regressors, such as a linear trend or dummy variable, can imply that conditional information is zero in the case of non-stationary autoregressions or non-invertible moving averages, respectively.     

Bayesian reconstruction of contingency tables with partially categorized data

This paper suggests a Bayesian approach to the reconstruction of a 2 × 2 contingency table where some of the observations are only partially categorized and others are fully categorized. In contrast, most previous Bayesian and non-Bayesian analyses of the partially categorized data problem have been concerned with estimation of the parameters that generated the data. We show in an example that estimates may not be extremely sensitive to the weight placed on prior information relative to the sample data.     

Empirical Bayes Small-Area Estimation Using Logistic Regression Models and Summary Statistics

Many of the available methods for estimating small-area parameters are model-based approaches in which auxiliary variables are used to predict the variable of interest. For models that are nonlinear, prediction is not straightforward. MacGibbon and Tomberlin and Farrell, MacGibbon, and Tomberlin have proposed approaches that require microdata for all individuals in a small area. In this article, we develop a method, based on a second-order Taylor-series expansion to obtain model-based predictions, that requires only local-area summary statistics for both continuous and categorical auxiliary variables. The methodology is evaluated using data based on a U.S. Census.     

Estimation in an empirical bayes model for longitudinal and cross‐sectionally clustered binary data

Some studies generate data that can be grouped into clusters in more than one way. Consider for instance a smoking prevention study in which responses on smoking status are collected over several years in a cohort of students from a number of different schools. This yields longitudinal data, also cross‐sectionaliy clustered in schools. The authors present a model for analyzing binary data of this type, combining generalized estimating equations and estimation of random effects to address the longitudinal and cross‐sectional dependence, respectively. The estimation procedure for this model is discussed, as are the results of a simulation study used to investigate the properties of its estimates. An illustration using data from a smoking prevention trial is given.     

Protecting the paediatrician: responding to recrimination

Doctors involved in child abuse proceedings may be subjected to much blame and pressure because of their role as ‘messenger’. They frequently need assistance with complaints procedures, disciplinary proceedings, public inquiries, litigation, media problems and other threats to their professional integrity and reputation. The medical model of support which may be offered by the defence organizations has much to commend it to other workers in the field. The author is a medico-legal adviser at the Medical Defence Union, and was extensively involved in assisting doctors at the Cleveland and Orkney Inquiries. From this privileged position he surveys the various procedures which may be used by parents and others to challenge paediatricians, and sets out possible ways in which practical support may be given.     

Do marriages forget their past? Marital stability in post-Khmer Rouge Cambodia

This paper assesses the impact of three main destabilizing factors on marital stability in Cambodia: the radical reformation of marriage under the Khmers Rouges (KR); the imbalanced gender ratio among marriageable adults resulting from gendered mortality during the KR regime; and, after decades of isolation from the West, a period of rapid social change. Although there is evidence of declining marital stability in the most recent period, marriages contracted under the KR appear as stable as adjacent marriage cohorts. Thesefindings suggest that the conditions under which spouses were initially paired matter less for marital stability than does their contemporaneous environment.