Domestic Outsourcing,Housework Time,and Subjective Time Pressure: New Insights From Longitudinal Data

Hiring household help could reduce housework time and alleviate subjective time pressure. Associations are assumed to be particularly apparent for women because they spend more time on housework than men. But empirical evidence on whether hiring help actually saves time or relieves time pressure is scant and inconclusive, chiefly because of data and methodological limitations. This study improves on earlier ones in that the authors examined panel data from the Household, Income and Labour Dynamics in Australia Survey (n = 5,124 couples) that enable modeling techniques that take account of selection effects, possible reverse causality, and unobserved heterogeneity. Contrary to some earlier studies, the authors show that outsourcing does in fact reduce housework time, narrow gender gaps, and lower women's subjective time pressure. They conclude that domestic outsourcing may save time and reduce subjective pressure for some women, but one consequence may be increased inequality between women who can and cannot afford domestic help.     

Getting Serious About Inequality

Sociologists have spent a great deal of energy studying social inequality, but in this presentation I suggest that we need to refocus our efforts a bit. I examine four popular myths among the general public, and among some in sociology, regarding the drivers of extreme inequality: (1) that most inequality is generated by race and gender, (2) that most inequality is driven by educational inequality, (3) that most inequality is driven by differences in family structure, and (4) that most inequality results from face‐to‐face interactions. I provide preliminary evidence that our explanations need some work. That work involves recognizing that most inequality is generated within demographic groups and that this inequality is growing rapidly. It also involves recognizing that there are few ways to incorporate underrepresented groups into the mainstream of a social and economic system where extreme inequality is getting worse and substantial percentages of the population face economic stagnation and downward mobility. The conclusion represents a call to focus on the most important group gap—the widening gap between the wealthy and the poor—and the mechanisms through which most people gain access to economic goods, services, and social respect—jobs and money.     

American Indian Poverty in the Contemporary United States

Little sociological attention over the last two decades has focused on the deprivation experienced by indigenous people. Fusing insights from American Indian history and the race and labor market inequality literatures, we address this gap in this article through a historically informed labor market analysis of poverty—an analysis that considers the pervasiveness of contemporary Native poverty, its potential basis in labor market opportunities, and the extent to which it has been patterned by two major demographic and economic shifts: (1) the rapid urbanization of the American Indian population and (2) the proliferation of tribally owned casinos. Findings reveal, most notably, the incredibly rigid and durable character of poverty for this population, historically and currently and across geographic space, and with little overall impact of local labor market opportunity. The presence of tribal casinos reduces such poverty, but only to a small degree and not nearly enough to compensate for sizable American Indian and white poverty differentials. Group history is key, we conclude, to shaping how space, labor markets, and economic development reduce or buttress relations of inequality.     

From Social Capital to Inequality: Migrant Networks in Different Stages of Labor Incorporation

How does social capital vary in the distinct stages (prehiring, hiring, and posthiring) of labor incorporation? Based on interviews with 71 Latino migrant workers engaged in residential construction in Las Vegas, Nevada, and 30 transnational migrants who returned to Mexico after working in the United States, I examined two primary issues: first, the structural labor mechanisms that create hyperexploitation, and second, how, in turn, such processes shape social capital. I discovered, at the prehiring phase, social networks connected to subcontractors and those who attempt to form a labor crew function as social capital, despite what may appear to be bonded labor. At the hiring stage, social capital continues to play a role, yet posthiring labor structures create hyperexploitation and immigrants experience inequality in social capital. In such contexts, undocumented Latinos are unable to retain their social capital as U.S. labor structures such as subcontracting and piece‐rate compensation lead to the subjugation of workers, who can become “ghost workers” and bonded laborers. I conclude that in the posthiring stage, such labor structures create what Lin (2000, 2001) refers to as capital deficit and return deficit in social capital that greatly limit the economic incorporation of Latino immigrants.     

“What About the Rest of Us?” An Overview of LGBT Poverty Issues and a Call to Action

In this article, I argue that, despite the myth of gay affluence, existing research is conclusive enough to claim that lesbian, gay, bisexual, and transgender (LGBT) adults are overall less financially secure than their heterosexual, cisgendered counterparts. I demonstrate that LGBT poverty is a broad social issue that can no longer be viewed as affecting only specific subpopulations of LGBT communities. I argue that the social work profession and the LGBT movement need to recognize LGBT poverty as a social issue. I then present a call to action for social work practitioners, researchers and LGBT organizations.     

Digital skills and social media use: how Internet skills are related to different types of Facebook use among ‘digital natives’

Based on the idea that Internet use can be conceptualized in terms of depth (frequency) and width (differentiated) uses of the Web, this study explored how socio-demographic factors and digital skills are related to frequency and types of Facebook use among young adults. It used a face-to-face representative survey conducted in the three main urban areas of Chile among a sample of 18-to 29-year olds. The results found that men and more educated young people had higher levels of skills, confirming that the so-called ‘digital natives’ are not a monolithic group. They also revealed that digital skills did not predict frequency of Facebook use. Furthermore, lower educated young people tended to use Facebook more frequently. Although these results go against the long-established digital divide research, traditional digital gaps emerged when types of use were analyzed. While more educated and skillful individuals tended to use Facebook for informational and mobilizing purposes, socio-demographic factors and skills did not make a difference in Facebook use for social purposes.     

Social Heterogeneity and Volunteering in U.S. Cities

In this research we explore the relationship between social heterogeneity and volunteering across U.S. metropolitan areas testing a theory that race heterogeneity, racial segregation, and income inequality are negatively associated with the rate of volunteering. Theorizing that social heterogeneity will have different effects for religious and secular volunteering rates, we analyze them separately. We use nonlinear multilevel models to analyze nearly 200,000 individuals across 248 cities, controlling for nonprofits per capita, religious congregations per capita, proportion of the population with college degrees, and the family poverty rate. While much of the intercity variation in volunteering is due to the composition of the population living in each city, we find general support for the predicted negative effect of social heterogeneity on volunteering. However, the effects vary by volunteering type. Race heterogeneity is negatively related only to secular volunteering, racial segregation is negatively related to both general volunteering and secular volunteering, and income inequality is negatively related to all types of volunteering.     

Mothers' Union Statuses and Their Involvement in Young Children's Schooling

U.S. schools often expect the educational involvement of parents, which may be facilitated when parents have partners, especially a partner also invested in the child. As such, parental involvement at school and at home could be a channel of the diverging destinies of U.S. children from different families. This study applied fixed effects modeling to the Early Childhood Longitudinal Study–Kindergarten Cohort to examine the link between mothers' union statuses and their involvement behaviors. Being partnered appeared to benefit mothers' school and home involvement when children were in the primary grades, with little evidence of an additional benefit from that partnership being marital. A biological tie between the male partner and the child only seemed to matter for mothers' school involvement. These patterns did not vary by family income, maternal depression, or maternal employment, but they were stronger when children were just beginning schooling.     

When I hear the word culture …

ABSTRACT

This afterword summarizes the principal contributions of the articles in this collection, noting both common themes and points of difference. All six articles highlight serious problems and unintended consequences that result when the recognition of rights grounded in cultural difference, or expressions of respect for cultural particularity, take place without engaging the deep structural inequalities that accompany cultural plurality. They also raise key differences, some contextual others conceptual, as to people’s experiences in effectively using openings of cultural recognition towards more expansive ends. Consequential differences also arise as to the best practical and theoretical means to contest racism. Especially in these dangerous times, my argument (and theirs) is not against cultural rights and recognition, but rather, in favour of approaches that critically appraise both the possibilities and limitations of such struggles – that is, to finish the sentence, ‘when I hear the word culture?…?’ taking seriously its cautionary message.     

Alternative GMM estimators for first-order autoregressive panel model: An improving efficiency approach

This article considers first-order autoregressive panel model that is a simple model for dynamic panel data (DPD) models. The generalized method of moments (GMM) gives efficient estimators for these models. This efficiency is affected by the choice of the weighting matrix that has been used in GMM estimation. The non-optimal weighting matrices have been used in the conventional GMM estimators. This led to a loss of efficiency. Therefore, we present new GMM estimators based on optimal or suboptimal weighting matrices. Monte Carlo study indicates that the bias and efficiency of the new estimators are more reliable than the conventional estimators.