The effects of welfare and child support policies on union formation

We use data from a new longitudinal survey – the Fragile Families and Child Wellbeing Study – to examine how welfare and child support policies, and local labor market conditions, affect union formation among unmarried parents who have just had a child together. We use multinomial logistic regression to estimate the effects of the policy variables along with economic, cultural/interpersonal, and other factors on whether (relative to being in a cohabiting relationship) parents are not romantically involved, romantically involved living apart, or married to each other about one year after the child's birth. We find that – contrary to some previous research – higher welfare benefits discourage couples from breaking up, while strong child support enforcement reduces the chances that unmarried parents will marry; local unemployment rates do not appear to be strongly associated with union formation decisions after a nonmarital birth.     

Hierarchical related regression for combining aggregate and individual data in studies of socio-economic disease risk factors

Summary.  To obtain information about the contribution of individual and area level factors to population health, it is desirable to use both data collected on areas, such as censuses, and on individuals, e.g. survey and cohort data. Recently developed models allow us to carry out simultaneous regressions on related data at the individual and aggregate levels. These can reduce 'ecological bias' that is caused by confounding, model misspecification or lack of information and increase power compared with analysing the data sets singly. We use these methods in an application investigating individual and area level sociodemographic predictors of the risk of hospital admissions for heart and circulatory disease in London. We discuss the practical issues that are encountered in this kind of data synthesis and demonstrate that this modelling framework is sufficiently flexible to incorporate a wide range of sources of data and to answer substantive questions. Our analysis shows that the variations that are observed are mainly attributable to individual level factors rather than the contextual effect of deprivation.     

Girls' Violence: Beyond Dangerous Masculinity

In this article, we review criminological perspectives of girls' violence. To do this, we first look at the 20th-century tendency to view violent girls as being the same as violent boys or as taking up dangerous types of masculinity. Second, we consider the contemporary ways that researchers have tried to move beyond male-centered and masculinized explanations of female violence. Noting potential problems with current perspectives, we argue that researchers need to address the contexts surrounding female offending, which includes understanding the effects and nature of gender, race, and class inequalities and how they (singly and in combination) predict popular representations and treatment of violent girls. We conclude by cautioning contemporary researchers to avoid returning to androcentric perspectives of girls' physical aggression. Not only are such perspectives logically problematic, they are also consequential. In particular, they have facilitated the masculinization and punishment of poor or working-class girls of color who are filling US detention centers and juvenile prisons in ever increasing numbers.     

Email Effects on the Structure of Local Associations: A Social Network Analysis*

Objectives. This article explores the impact of email on the network structure of small, voluntary associations. By focusing on the density and centralization of associations, we illuminate how the Internet affects their cohesiveness and democratic character. Methods. Based on network data collected from 41 community‐based associations that are comparable on a variety of factors known to influence network structure, we employ multiple regression techniques to explore the impact of increased email use on group‐ and individual‐level network measures. Results. We find that the technological nature of email as well as the background, interests, and intentions of its users interact to influence density and centralization. Individuals employ electronic mail differently from other communication modes such as phone and face‐to‐face communication. Network density increases, and network centralization either increases or decreases, depending on the distribution of email use in the association. Conclusions. These effects on associational structure are likely to have significant long‐run impacts on the cohesion, efficacy, and democratic character of voluntary associations.     

Social class variation in risk: a comparative analysis of the dynamics of economic vulnerability1

A joint concern with multidimensionality and dynamics is a defining feature of the pervasive use of the terminology of social exclusion in the European Union. The notion of social exclusion focuses attention on economic vulnerability in the sense of exposure to risk and uncertainty. Sociological concern with these issues has been associated with the thesis that risk and uncertainty have become more pervasive and extend substantially beyond the working class. This paper combines features of recent approaches to statistical modelling of poverty dynamics and multidimensional deprivation in order to develop our understanding of the dynamics of economic vulnerability. An analysis involving nine countries and covering the first five waves of the European Community Household Panel shows that, across nations and time, it is possible to identify an economically vulnerable class. This class is characterized by heightened risk of falling below a critical resource level, exposure to material deprivation and experience of subjective economic stress. Cross‐national differentials in persistence of vulnerability are wider than in the case of income poverty and less affected by measurement error. Economic vulnerability profiles vary across welfare regimes in a manner broadly consistent with our expectations. Variation in the impact of social class within and across countries provides no support for the argument that its role in structuring such risk has become much less important. Our findings suggest that it is possible to accept the importance of the emergence of new forms of social risk and acknowledge the significance of efforts to develop welfare states policies involving a shift of opportunities and decision making on to individuals without accepting the ‘death of social class’ thesis.     

Robust Confidence Intervals for Regression Parameters

The paper considers the problem of finding accurate small sample confidence intervals for regression parameters. Its approach is to construct conditional intervals with good robustness characteristics. This robustness is obtained by the choice of the density under which the conditional interval is computed. Both bounded influence and S-estimate style intervals are given. The required tail area computations are carried out using the results of DiCiccio, Field & Fraser (1990).     

Perceived Marginalization and the Prediction of Romantic Relationship Stability

The present research examined how perceived marginalization of one’s romantic relationship is associated with level of future commitment to and stability of that involvement. Results from a 7‐month longitudinal study of romantically involved individuals (N= 215) revealed that perceived social network marginalization at Time 1 predicted breakup status at Time 2, with commitment level at Time 1 fully mediating this association. Among those individuals whose relationships remained intact, social network marginalization predicted Time 2 commitment above and beyond satisfaction, alternatives, and investments. Additional analyses revealed that perceived general societal marginalization was a less robust predictor of relationship commitment and stability compared to social network marginalization. These findings highlight the important consequences of perceived social disapproval on relationship outcomes.