A propensity score matching analysis of the relationship between victim sex and capital juror decision-making in North Carolina

A small body of prior research has examined the impact of victim sex on jury death penalty decision-making and the majority of this research has demonstrated some evidence of a “female victim effect” such that cases involving a female victim are more likely to receive the death penalty than similarly situated cases with a male victim. However, within this line of research studies have suggested that victim sex may work in conjunction with other case characteristics. In order to further explore this phenomenon, the current study examines a near-population of death penalty cases from North Carolina (n = 1069) from 1977–2009 using propensity score matching. Results demonstrate that once cases are matched on more than 50 legal and extralegal case characteristics, there is no statistically significant or substantive link between victim sex and death penalty decision-making. Findings suggest that it is concrete differences in the legal and extralegal factors observed in cases with female victims compared to male victims that shape jury death sentence decisions rather than a direct effect of victim sex (before matching: OR = 1.53; 95% CI = 1.20–1.95; p < .001/after matching: OR = 0.90; 95% CI = 0.66–1.24; p = .52). Study limitations and implications are also discussed.     

Using population screening for recruitment of young adults engaged in illicit drug use: Methodological issues and sampling outcomes

Social stigma, legal sanctions and the associated lack of sampling frames create barriers to the probabilistic sampling of those engaged in a variety of behaviour, including illicit drug use. We used a novel sampling approach to recruit respondents into a longitudinal study examining amphetamine-type stimulant use. A young adult population was screened for lifetime drug use to create a sampling frame of amphetamine-type stimulant users and non-users. We posted 12,118 screening questionnaires to a random selection of young adults listed on the electoral roll for Brisbane and the Gold Coast, Australia (N = 107,275). Using a small pre-paid incentive and intensive telephone and postal reminders we attained a screening response rate of 49.9%. Eligible amphetamine-type stimulant users (used ecstasy or methamphetamine ⩾ 3 times in past 12 months) and non-users (never used ecstasy or methamphetamine) were identified by screening responses. About two-thirds of each selected group took part in the longitudinal study. Comparisons with large-scale population survey data suggest the sample was broadly representative of young adult amphetamine-type stimulant users in Australia.     

Mass imprisonment and the life course revisited: Cumulative years spent imprisoned and marked for working-age black and white men

Over the last 40 years, imprisonment has become a common stage in the life-course for low-skilled and minority men, with implications not only for inequality among adult men but also for inequality more broadly. Unfortunately, all research documenting how increases in imprisonment have transformed the life-course of poor, minority men has neglected to estimate how much time black and white men on average spend imprisoned or marked as an ex-prisoner. In this article, we fill this gap by using multistate life tables to estimate what share of their working lives (18–64) black and white men will spend imprisoned and marked as ex-prisoners. Our estimates imply that white men spend on average 0.33 years of their working lives imprisoned and 2.31 years marked, while black men spend on average 1.79 years of their working lives imprisoned and 11.14 years marked. This implies that black men spend on average one-third of their working lives either imprisoned or having been freed but marked by the penal system. For the 32.2% of black men who ever experience imprisonment (Bonczar, 2003), moreover, these estimates imply that they spend on average 5.56 years imprisoned, corresponding to 13.4% of their working lives. Taken together, these findings imply a dramatic reorientation of the life course for black men, as one-third of the black male population will spend one-seventh of their working life in prison.     

Variation in trajectories of women’s marital quality

I examine variation in trajectories of women’s marital quality across the life course. The analysis improves upon earlier research in three ways: (1) the analysis uses a sequential cohort design and data from the first 35 years of marriage; (2) I analyze rich data from a national sample; (3) I examine multiple dimensions of marital quality. Latent class growth analyses estimated on data from women in the National Longitudinal Survey of Youth-1979 (N = 2604) suggest multiple trajectories for each of three dimensions of marital quality, including two trajectories of marital happiness, two trajectories of marital communication, and three trajectories of marital conflict. Socioeconomic and demographic covariates are then used to illustrate how factors such as income, cohabitation, and race-ethnicity set individuals at risk of poor marital quality throughout the life course by differentiating between high and low trajectories of marital quality. Women on low marital quality trajectories are, as expected, at much greater risk of divorce. Taken together, these findings show how fundamental socioeconomic and demographic characteristics contribute to subsequent marital outcomes via their influence on trajectories of marital quality as well as providing a better picture of the complexity in contemporary patterns of marital quality.     

American income inequality across economic and geographic space, 1970–2010

This analysis examines the spatial clustering of income inequality and its socioeconomic correlates at the meso-scale over the past four decades. Cluster analysis is used to group N = 3078 counties into five inequality clusters; and multinomial logistic regression is used to assess the effects of socioeconomic correlates. High and extreme inequality places are concentrated in large metropolitan centers, high amenity rural areas, and parts of the Great Plains and Mountain West. They tend to have better socioeconomic outcomes, with fewer at-risk populations, higher incomes, lower poverty, and greater economic participation. Unequal places are more specialized in high-skill finance and professional services, and in energy-based mining. By contrast, equality places are associated with low-skill services, education and health services, manufacturing, and stable farm economies.     

Personal networks of prisoners prior to incarceration: A comparison with the general Dutch population

This study examines inmates’ core discussion network prior to their incarceration. The core discussion network consists of the immediate social circle of relatively strong ties. The aims of the study are twofold: (1) to describe inmates’ core discussion network prior to their incarceration in terms of network structure, relationship quality and embedded socioeconomic resources; (2) to compare inmates’ core discussion network with the core discussion network of the general Dutch population. Data are analyzed from the Prison Project (n = 1909) and the Survey of the Social Networks of the Dutch (n = 394). Compared with the general Dutch population, prior to incarceration, prisoners generally have a core discussion network that is similar to or even better with respect to network structure and relationship quality. However, prisoners’ core discussion network members seem to lack socioeconomic resources.     

Revisiting convergence: A research note

A number of recent studies show that income inequality is declining between countries. In this research note, I question the significance of this trend by examining the role of initial conditions in producing convergence. An important (but neglected) property of inequality dynamics is the tendency for extreme distributions to become more moderate. When income disparities are large, the subsequent trend is biased toward convergence. Conversely, when initial conditions approach parity, divergence becomes the more likely long-term outcome. I apply this principle to trends in GDP PC across 127 countries during the 1980–2010 period. Using counterfactual analysis, I manipulate the initial level of inequality in GDP PC while holding constant each country’s observed growth rate during the sample period. I find that the growth dynamics of GDP PC produce either convergence or divergence based simply on the initial distribution of income. The point of transition occurs at a moderate level of inequality, whether using population weights (Gini = .365) or not (Gini = .377). I conclude that the recent convergence observed in GDP PC is primarily a function of large income gaps between countries and would not have materialized at more moderate levels of initial inequality. By contrast, an examination of the pre-1950 period reveals divergent growth patterns that are not sensitive to initial conditions.     

The dimensions of mobilities: The spatial relationships between corporeal and digital mobilities

The aim of this article is to study how the corporeal and digital mobilities are spatially organised in relation to each other in everyday life. The dimensions of mobilities are modelled by using survey data (N = 612) collected from Finland in 2011, Multiple Correspondence Analysis (MCA) and Multiple Regression Analysis (MRA). The results show that the combined use of corporeal and digital means of mobility affect the spatial organisation of mobilities only little. The results indicate that young people and students are more likely to benefit from their mobility in networking activities as they are equipped with a larger variety of mobility means than older people and pensioners. Lastly, women and people living in essentially urban areas are more likely to augment their physical travelling practices by using small-sized digital mobilities than men and people living in rural locations.     

Small groups,contexts, and civic engagement: A multilevel analysis of United States Congregational Life Survey data

Prior research suggests that church-goers are more civically engaged than their non-church-going counterparts. Little is known, however, about how the popular phenomenon of small groups factors into this equation. In the present study, we examine relationships between small group participation at individual and congregation levels and civic engagement. Using multilevel modeling and national data on congregations and individuals from the U.S. Congregational Life Study (n = 82,044), we find that: (1) individual-level small group involvement is associated with four measures of civic engagement; (2) congregation-level small group participation is associated with both lower and higher civic engagement in the case of two outcomes; and (3) in the case of three civic outcomes, congregation-level small group participation moderates individual-level small group involvement such that small group members’ civic activity more closely resembles the lower civic engagement of small group nonparticipants. In the case of one civic outcome, at high levels of overall small group participation, small group members’ civic engagement drops below that of small group nonparticipants. Explanations for these findings, including a “crowding out” effect, are examined including their complex implications for debates regarding small groups, religious involvement, and civic engagement.     

Race, social class, and student engagement in middle school English classrooms

Student level data on participation in classroom discourse and student effort on assignments in 117 middle school English classrooms are used to investigate the social determinants of student engagement in classroom instruction. Social identity theories of race, social class, and attachment to school, and research in the social psychology of achievement motivation both suggest differential levels of student engagement among diverse student groups. Using multilevel models, the author investigates the relationship between classroom context and students’ levels of engagement. Levels of engagement among black and low SES students are mostly insensitive to classroom context, suggesting there is little collective action directed at fostering anti-school norms among these student groups. However, consistent with research in the social psychology of achievement motivation, students who begin class with weaker reading and writing skills are less likely to be engaged, setting the stage for a cycle of reduced achievement growth.     

Predictors of self-protective behaviors in non-sexual violent encounters: The role of victim sex in understanding resistance

Self-protective behaviors are actions that victims take in a violent encounter to thwart the attack or avoid/minimize injury. This study examines the predictors of self-protective behaviors in non-sexual assault incidents with a particular focus on how the sex of the victim may moderate these conclusions. Non-sexual assault incidents in the National Crime Victimization Survey were analyzed (n = 16,309) and four categories of self-protective behaviors were regressed on a variety of predictors using multivariate probit models. A variety of pre-assault factors (e.g., demographic characteristics), situational characteristics (e.g., location of assault), and the relationship between the victim and offender are associated with the use of resistance. Situational characteristics emerged as the most consistent and strongest predictors of self-protective behaviors. There was little evidence to suggest that separate models for male and female victims were warranted.     

Social origins and post-high school institutional pathways: A cumulative dis/advantage approach

The social stratification that takes place during the transition out of high school is traditionally explained with theoretical frameworks such as status attainment and social reproduction. In our paper, we suggest the cumulative dis/advantage hypothesis as an alternative theoretical and empirical approach that explains this divergence in institutional pathways as the result of the dynamic interplay between social institutions (in our case, schools) and individuals’ resources.We use data from the NLSY79 in order to compute institutional pathways (defined by educational and occupational status) of 9200 high school graduates. Optimal Matching Analysis and Cluster Analysis generated a typology of life course pathways. Our results show that both ascribed characteristics and students’ high school characteristics and resources are predictors of post-high school pathways.     

Social support,stress, and maternal postpartum depression: A comparison of supportive relationships

A large body of literature documents the link between social support, stress, and women’s mental health during pregnancy and the postpartum period; however, uncertainty remains as to whether a direct effect or stress mediating pathway best describes the relationship between these factors. Moreover, specific dimensions of social support that may be influential (family type, sources of support) have largely been neglected. Using data from the Fragile Families and Child Well-being Study (N = 4150), we examine the pathway between social support, stress exposure, and postpartum depression in greater detail. Findings reveal that social support is a significant, protective factor for postpartum depression, and the variety of support providers in a woman’s social network is important, especially in the context of family type. Findings also reveal the importance of considering social support and stress exposure as part of a larger causal pathway to postpartum mental health.     

The impact of cumulative family risks on various levels of food insecurity

The study uses the Fragile Families and Child Well-being Study (N = 2025) to examine the relationship between four cumulative family risk indices and refined measures of food hardship: marginal food security, low food security, and very low food security. Regression analyses indicate that cumulative family risk indices are useful in differentiating various levels of food insecurity. Specifically, the maternal poor health and risky health behaviors index is pertinent for distinguishing (1) food insecure from marginal food secure households and (2) very low food secure from low food secure households. In addition, the financial strain index is pertinent for differentiating between marginal food secure families from food secure families among non-poor households. Connecting food assistance programs with established social services may decrease the negative impact that cumulative family-level risk factors have on families’ varying levels of food insecurity.     

Trends in exposure to industrial air toxins for different racial and socioeconomic groups: A spatial and temporal examination of environmental inequality in the U.S. from 1995 to 2004

In recent decades there have been dramatic declines in industrial air toxins. However, there has yet to be a national study investigating if the drop has mitigated the unequal exposure to industrial toxins by race and social class. This paper addresses this by developing a unique dataset of air pollution exposure estimates, by aggregating the annual fall-out location of 415 air toxins, from 17,604 facilities, for the years 1995 to 2004 up to census block groups (N = 216,159/year). These annual estimates of exposure were matched with census data to calculate trends in exposure for different racial and socioeconomic groups. Results show that exposure to air toxins has decreased for everyone, but African-Americans are consistently more exposed than Whites and Hispanics and socioeconomic status is not as protective for African-Americans. These results by race were further explored using spatially specified multilevel models which examine trends over time and across institutional boundaries.     

Intergenerational transmission of homeownership in Europe: Revisiting the socialisation hypothesis

Socialisation towards homeownership during childhood has been proposed as one transmission channel of homeownership across generations in previous literature, but tests of this socialisation hypothesis are scarce. This study presents the yet most rigorous test of the socialisation hypothesis using retrospective life-history data (SHARELIFE, N = 19,567 individuals) from 13 European countries. Event history and panel regression models are applied. Results show that socialisation in homeownership positively affects the hazard rates of entering homeownership for the first time and the probability to be a homeowner throughout individuals’ lives net of other parental background variables and material transfers. We find a socialisation effect across divergent (but not all) examined countries. Further sensitivity analyses using a placebo test and a hypothetical confounder support the conclusion that being socialised in homeownership during childhood increases the chances of becoming and being a homeowner in later life.     

Testing the temporal nature of social disorder through abandoned buildings and interstitial spaces

With the recent housing crisis, studying abandoned buildings has once again become important. However, it has been some time since abandoned buildings were the subject of direct study, leaving scholars with scant knowledge about the characteristics of abandoned buildings, how they change, and their relationship to neighborhood processes. To fill this gap, we employed longitudinal photographic and SSO evaluations of 36 abandoned buildings and their immediate surroundings in Chicago for one year (n = 587). Results demonstrate the presence and severity of social disorder cues vary across time points and the time of day of observation. There is a relationship between abandoned buildings and social disorder, though the relationship is not a trend. Also, social disorder is diminished around extremely decayed buildings. Lastly, we find that our results are driven by the measurement of places ignored by most SSO studies, including alleys and the rear side of buildings.     

Seclusion,decision-making power,and gender disparities in adult health: Examining hypertension in India

Research on the social determinants of health in developing countries is increasingly focusing on the importance of gender. Cardiovascular conditions such as hypertension are a growing concern in developing countries, where they are now the leading cause of death. Researchers have documented differences in hypertension between men and women, but the importance of gendered practices in shaping these differences has been left unexamined. Using national data from the India Human Development Survey 2005 (N = 101,593), this study assesses the moderating role of two salient and widespread gendered practices—women’s seclusion and decision-making power—on hypertension disparities between women and men. Both seclusion and low decision-making power are associated with increased odds of hypertension for women, but in the case of seclusion reduced hypertension for men. Results also show the gender gap in hypertension is exacerbated with women’s seclusion and low decision-making power.     

Domestic outsourcing and multitasking: How much do they really contribute?

The bulk of responsibility for domestic work and childcare in heterosexual couples falls on women. But the means they find to cope with this load, and how these means relate to the factors underpinning the division of labor are not often studied. Two much-cited ways of reducing overall work time are purchasing domestic assistance (outsourcing) and the multitasking of domestic/caring tasks. Using UK 2000/2001 time-use data (N = 4196 couples), we find domestic outsourcing is related to having dependent children and to partners’ resources, but has little impact on the total domestic/caring workload of either partner. Nor can outsourcing account for the reduction in women’s unpaid labor with increasing economic resources. Wives spend more time multitasking than husbands, but their proportion of multitasked domestic time is similar, and is not affected by resources or dependent children. Domestic multitasking seems to be more related to opportunity (time at home) than to time pressure.     

Does residential mobility improve educational outcomes? Evidence from the Netherlands

This paper explores the impact of residential mobility on educational outcomes. By considering a large Dutch city with substantial internal residential mobility, we examine how residential mobility influences the decision of students to drop out of school. The paper exploits a rich administrative dataset with extensive information on educational, individual, family, housing and moving characteristics of students. It combines a matching design with a multivariate regression analysis, such that the evaluation draws on a well-comparable control group for the treated students. Accounting for individual, family, educational, neighborhood and housing characteristics, as well as for school and year fixed effects, we observe that residential mobility increases the probability of school dropout in the first few years after moving. The estimated effect changes, however, to a lower risk of early school leaving after an initial period, and then changes again to a higher risk after 6 years. This effect remains, regardless the level of education the students attended, or whether the student moves to a better or a worse neighborhood.