A New Marriage Squeeze for Black Women: The Role of Racial Intermarriage by Black Men

Recent declines in the rate of marriage among Black women have been accompanied by substantial increases in rates of interracial marriage, especially between Black men and non‐Black women. Explanations for the retreat from marriage among Black women have focused on deficits in the quantity and quality of available partners, and the role of racial intermarriage largely has been ignored. This study examines the impact of interracial marriage by Black men on the marriage prospects of Black women. First, our analysis of data from the 1990 Integrated Public Use Microdata Series (IPUMS) reveals that intermarried Black men are selective of those with the highest levels of education, income, and occupational prestige. Second, multilevel analyses, using both the IPUMS and Panel Study of Income Dynamics, show that the level of intermarriage in metropolitan areas is significantly related to the marital behaviors of Black women. Local rates of intermarriage among Black men reduce the likelihood that Black women currently will be married and that they will make the transition to marriage. These effects are especially acute for highly educated Black women whose marriage markets are defined by those Black men who are most likely to intermarry. Finally, our analyses indicate that intermarriage affects the marital prospects of Black women by negatively affecting the pool of economically attractive marriage partners in the metropolitan area.     

Building Resilience in Social Workers: An Exploratory Study on the Impacts of a Mindfulness-based Intervention

Burnout is a frequent and well-documented consequence of social work practice. The literature suggests that mindfulness-based interventions might help develop the mental states and emotional skills that are indicators of resilience. This mixed-methods, non-randomised controlled, exploratory study with 14 social workers in Canada investigated differences in social workers’ levels of stress, resilience, and burnout after a mindfulness-based intervention, compared to a waitlist group. The intervention group was also interviewed about changes in their relationships within the workplace, their perceived sense of mental health, and wellbeing. Results suggested that the mindfulness-based intervention significantly decreased the treatment group’s perceived stress compared to those on the waitlist and continued to decline for 26 weeks post-intervention. Intervention participants reported positive changes in attitudes, perspectives, behaviours, and energy in relation to their workplace relationships with peers and supervisors. Mindfulness-based interventions for reducing stress and building resilience to burnout in social workers and other helping professionals hold promise, and invite further research.     

Residential mobility between cities and suburbs: race, suburbanization, and back-to-the-city moves

Information from the 1979 to 1985 waves of the Panel Study of Income Dynamics is merged with data on respondents’ tract and metropolitan area of residence to examine patterns and determinants of residential mobility between central cities and suburbs. Consistent with the life-cycle model of residential mobility, mobility in both directions declines with age, but on balance the presence of young children deters moving to the suburbs. Among blacks, education increases the probability of moving from cities to suburbs, while high income retains blacks and whites in suburbs. Consistent with the place stratification model. blacks are substantially less likely than whites to move from cities to suburbs, and substantially more likely to move from suburbs to cities, even after standardizing for racial differences in sociodemographic characteristics. High levels of violent crime and unemployment in cities relative to suburbs also tend to spur city-to-suburb mobility or inhibit suburb-to-city moves.     

A Test for Independence of Competing Risks with Discrete Failure Times

The identifiability problem in Competing Risks is well known. In particular, it implies that independent action or otherwise of the risks cannot be inferred from data alone. However, Crowder (1996) showed that, in the case of purely discrete failure times, an inference can be made. An algebraic criterion was derived which bears essentially on the independence in question. The condition was presented in a theoretical setting but it was pointed out that the quantities involved can be estimated from data and that, therefore, there is the potential to develop practical tests for the hypothesis of independence. It is the purpose of this paper to construct such a test. This revised version was published online in July 2006 with corrections to the Cover Date.     

Two zs are Better than One

Given only a random sample of observations, the usual estimator for the population mean is the sample mean. If additional information is provided it might be possible in some situations to obtain a better estimator. The situation considered here is when the variable whose mean is sought is composed of factors that are themselves observable. In the basic case, the variable can be expressed as the product of two, independent, more basic variables, but we also consider the case of more than two, the effect of correlation, and when there are observation costs.     

Multilevel Models in Family Research: Some Conceptual and Methodological Issues

Examining the impact of context on individual‐level outcomes has become an increasingly common undertaking in the social sciences. The growth in concern for identifying the effects of macrolevel characteristics has generated both theoretical and methodological advancements. In this issue of Journal of Marriage and Family, Butler (2002) researches whether the effect of welfare benefit levels on premarital childbearing varies by context, Hoffmann (2002) researches the effect of context on adolescent drug use, and Simons et al. (2002) examine how the relationship between parenting and child conduct varies by context. These articles are used as a background to discuss important theoretical and methodological issues surrounding the analysis of multilevel data. The authors present a simple analysis of data pertaining to age at first marriage taken from the Panel Study of Income Dynamics and merged with census data to measure contextual effects as a pedagogical device for introducing readers to the benefits of multilevel modeling.     

Neighborhood distress and school dropout: the variable significance of community context

Although a substantial body of recent research has examined the impact of neighborhood socioeconomic distress on youth socioeconomic attainment and urban social dislocations, few studies have determined under what conditions, and for what types of adolescents, neighborhood characteristics matter most. Drawing on theories of collective socialization, social capital, and social control, we develop hypotheses regarding the conditional nature of neighborhood effects on the risk of dropping out of high school, and we then test these hypotheses by estimating event history models based on data from the 1968–1993 waves of the Panel Study of Income Dynamics. We find that, among African Americans, the detrimental impact of neighborhood socioeconomic distress on school dropout has increased significantly over the past quarter-century, a probable repercussion of the increasing geographic concentration of urban poverty. The negative effect of neighborhood distress on high school completion is particularly pronounced among black adolescents from single-parent households and among white adolescents from low-income families, results broadly consistent with Wilson’s claim that exposure to neighborhood poverty reinforces the damaging consequences of individual disadvantage. Supporting the social capital perspective, among both black and white adolescents the deleterious impact of neighborhood distress on school dropout is stronger for recent in-movers than for long-term residents. The impact of neighborhood disadvantage also varies significantly by gender for both racial groups and, among whites, is stronger for younger than older adolescents. We conclude with a discussion of the implications of these findings for theories of neighborhood effects.     

Editorial

Lifetime Data Analysis -     

Housing Discrimination and Residential Mobility: Impacts for Blacks and Whites

We merge metropolitan-level measures of racial discrimination in housing markets derived from two national housing audit studies, along with tract-level 1980 census data, with the 1979-1985 waves of the Panel Study of Income Dynamics to examine the impact of housing discrimination on patterns of residential mobility between neighborhoods of varying racial composition. We find no evidence that housing discrimination in the metropolitan area impedes African Americans' mobility into whiter neighborhoods. Contrary to expectations, in multivariate analyses based on black movers, the level of housing discrimination is positively associated with the percentage of the population that is white in the tract of destination. Housing discrimination against African Americans is positively associated with the rate at which mobile white households move into whiter census tracts. These findings imply that eliminating racial discrimination by real estate and rental agents will fail to increase black residential mobility into racially-mixed and predominantly white neighborhoods. For both black and white households, life-cycle factors, such as age, children, and home ownership, impede mobility out of the current neighborhood. Conditional upon moving, socioeconomic resources, such as education and income, facilitate mobility into whiter neighborhoods.