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Growing evidence suggests that maltreatment is reproduced across generations as victims of maltreatment are at an increased risk for maltreatment perpetration. Unfortunately, little information about mediating pathways exists to provide an explanation for why maltreatment begets maltreatment. We use the number of types of maltreatment experienced to predict later maltreatment perpetration and then examine two developmental pathways that may serve as bridges between maltreatment victimization and perpetration: adolescent problem behaviors and precocious transitions to adulthood. With prospective, longitudinal data from the Rochester Youth Development Study, we assess the relevance of these pathways for the number of maltreatment experiences as well as the number of maltreatment victimization experiences by developmental period (i.e., childhood and adolescence). Our results demonstrate a significant relationship between maltreatment victimization and maltreatment perpetration. Adolescent delinquency and two precocious transitions, dropping out of school and independent living, as well as the accumulation of precocious transitions and problem behaviors, serve as mediators of this intergenerational relationship. Furthermore, the relationship between the number of types of maltreatment and subsequent perpetration is primarily driven by experiences of maltreatment during adolescence. We discuss the implications of these results and set an agenda for the development of programs and policies to interrupt the cycle of maltreatment.

The Conditional Cash Transfer (CCT) program has proven to be a successful aid to reduce poverty.

Program represents a new baseline, a big beginning

Education is not paying off to better job opportunities, marriage prospects, or freedom to choose for women in India

Using the theoretical lenses of intersectionality and racial-ethnic socialization, we conducted a focus group study with 29 Black women. We analyzed transcripts via a grounded theory approach for the sources of messages about skin color and hair and for participants’ responses to these messages. Family members were the primary source of messages about skin color and hair. Peers and the media also communicated such messages. Messages ranged from endorsement of Western standards of beauty to an embrace of darker skin colors and natural hair texture. Rather than serving as passive recipients of messages, participants sifted through and reconciled messages with varying degrees of resolution. Their accounts reflected their intersectional experiences as Black women representing a variety of physical attributes. We discuss the influence of these physical attributes on their individual racial-gender identity development in light of a second burgeoning Black hair movement in the United States, that embraces Black natural hair. Findings may help families and others build understanding of, and increase sensitivity toward, the intra- and interpersonal implications of colorism for Black women. Findings may also inform institutional policies (e.g., school, work) and practices to reduce barriers and improve consequences for the Black women navigating these settings.

John Haltiwanger looks at the effect of housing market shocks on young businesses and start-ups

Predictive modeling methods from the field of machine learning have become a popular tool across various disciplines for exploring and analyzing diverse data. These methods often do not require specific prior knowledge about the functional form of the relationship under study and are able to adapt to complex non-linear and non-additive interrelations between the outcome and its predictors while focusing specifically on prediction performance. This modeling perspective is beginning to be adopted by survey researchers in order to adjust or improve various aspects of data collection and/or survey management. To facilitate this strand of research, this paper (1) provides an introduction to prominent tree-based machine learning methods, (2) reviews and discusses previous and (potential) prospective applications of tree-based supervised learning in survey research, and (3) exemplifies the usage of these techniques in the context of modeling and predicting nonresponse in panel surveys.

This article presents an interview with environmental economist Maureen L. Cropper. Maureen completed her Ph.D. at Cornell University and subsequently held positions at the University of California, Riverside, and the University of Southern California. At Riverside, she moved from monetary economics to environmental economics. She then landed at the University of Maryland, where she is a still a professor. She has taken on leadership roles in numerous institutional settings, including the US National Academy of Sciences and the US Environmental Protection Agency (EPA) Science Advisory Board. Her contributions to environmental economics have been groundbreaking and extensive. Together with many collaborators—including former students and colleagues at the University of Maryland, World Bank, EPA, and Resources for the Future—Maureen has produced a body of work that spans theory, methods, and empirical applied economics. Her work covers the environment, energy, climate change, and transportation in both the United States and developing countries.

The use of active transportation (AT), such as walking, cycling, or even public transit, as a means of transport offers an opportunity to increase youth physical activity and improve health. Despite the well-known benefits of AT, there are environmental and social variables that converge on the AT experiences of low-income youth and youth of color (YOC) that have yet to be fully uncovered. This study uses an intersectional framework, largely focusing on the race-gender-class trinity, to examine youth AT within a context of transportation inequity. Theoretically guided by the Ecological Model of Active Transportation, focus groups were completed with two groups of girls (15 participants) and two groups of boys (nine participants) ranging between the ages of 12–15 years who lived within the Washington D.C. area. This research found race, gender, and class to be inhibitors of AT for both boys and girls, but with more pronounced negative influences on girls.

The use of active transportation (AT), such as walking, cycling, or even public transit, as a means of transport offers an opportunity to increase youth physical activity and improve health. Despite the well-known benefits of AT, there are environmental and social variables that converge on the AT experiences of low-income youth and youth of color (YOC) that have yet to be fully uncovered. This study uses an intersectional framework, largely focusing on the race-gender-class trinity, to examine youth AT within a context of transportation inequity. Theoretically guided by the Ecological Model of Active Transportation, focus groups were completed with two groups of girls (15 participants) and two groups of boys (nine participants) ranging between the ages of 12–15 years who lived within the Washington D.C. area. This research found race, gender, and class to be inhibitors of AT for both boys and girls, but with more pronounced negative influences on girls.