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We investigate the question of whether investing in a child’s development by having a parent stay at home when the child is young is correlated with the child’s adult outcomes. Specifically, do children with stay-at-home mothers have higher adult earnings than children raised in households with a working mother? The major contribution of our study is that, unlike previous studies, we have access to rich longitudinal data that allows us to measure both the parental earnings when the child is very young and the adult earnings of the child. Our findings are consistent with previous studies that show insignificant differences between children raised by stay-at-home mothers during their early years and children with mothers working in the market. We find no impact of maternal employment during the first five years of a child’s life on earnings, employment, or mobility measures of either sons or daughters. We do find, however, that maternal employment during children’s high school years is correlated with a higher probability of employment as adults for daughters and a higher correlation between parent and daughter earnings ranks.

The purpose of the present chapter was to synthesize the research that directly compares children with and without reading disabilities on measures of working memory (WM). Working memory has considered at key element children success on reading performance and, therefore, the published literature was assessed. Twenty-eight (28) studies were included in the synthesis, which involved 207 effect sizes. The overall mean effect size estimate in favor of children without reading disabilities (RD) was –0.89 (SE=0.08). Effect sizes were submitted to a hierarchical linear modeling. Results indicated that children with RD were distinctively disadvantaged compared with average readers when memory manipulations required a transformation of information. Age, IQ, reading level, and domain specificity (verbal vs. visual/spatial measures) were not significant predictors of effect size estimates. The findings indicated that domain general WM differences persisted across age, and these differences operated independent of effect size differences in reading and IQ.

This paper investigates the effect of household size, and in particular of the number of children of different age groups, on poverty, defined as being in a situation of low income. We apply various static and dynamic probit models to control for the endogeneity of the variables of interest and to account for unobserved heterogeneity, state dependence, and serially correlated error components. Using Luxembourg longitudinal data, we show that the number of children of different age groups significantly affects the probability of being poor. However, the magnitude of the effect varies across different specifications. In addition, we find strong evidence of true poverty persistency due to past experience, spurious poverty persistency due to individual heterogeneity, and transitory random shocks.

The present study uses data from the National Longitudinal Study of Adolescent Health (Ad Health) to evaluate the effects of exposure to violent victimization in childhood on adolescent delinquency and subsequent adult criminality.

Using Longitudinal Latent Class Analysis (LLCA), the present study investigates whether there are distinct and diverse longitudinal delinquency trajectories among those exposed to violence in childhood.

Findings from the current study indicate that there are three distinct trajectories of delinquency and offending from age 14 to 27 for both males and females exposed to violence in childhood. Further, it appears that violent victimization in childhood bridges the gender gap in delinquency between males and females. Thus, childhood violent victimization, and the fact that females are victimized by parents/caregivers and romantic partners at higher rates than males, might be partially responsible in explaining the narrowing of the gender gap between male and female offending in the recent decades. At the same time, childhood violent victimization also seems to impact males and females in somewhat different ways. Practically, all female victims stop offending by their late 20s, whereas a fairly large proportion of males exposed to violent victimization in childhood steadily continue offending.

Although this study was able to identify the diverse impacts of violence exposure on engagement in subsequent delinquency, it did not examine the unique contributions of each type of violence on adolescent outcomes or the chronicity of exposure to each of these types of violent victimization. We were also not able to measure all types of violence experiences in childhood, such as exposure to parents’ or caregivers’ intimate partner violence.

While early prevention would be the most desirable option for both genders for the most optimal outcome, the retrospective intervention and treatment programs should be gender-specific. For males, they should heavily focus on providing alternative ways to cope with anger, impulse control and frustration, as well as teach empathy, cognitive problem solving skills, verbal communication skills, and tangible life and job skills. For females, most successful intervention and treatment programs may focus on helping the girls through a transition from adolescence to adulthood while providing mental health, medical, and family support services.

The paper uses a unique methodological approach to identify distinct and diverse longitudinal delinquency trajectories. The findings demonstrate how more resilient individuals (in terms of externalizing behaviors) can bring down the mean scores of delinquency even though many other individuals can be severely affected by violence exposure in childhood.

This chapter synthesized some of the published literature comparing the cognitive functioning of children with math disabilities (MD) with (1) average achieving children, (2) children with reading disabilities (RD), and (3) children with comorbid disabilities (RD+MD). Twenty-one studies, which yielded 194 effect sizes (ESs), indicated that average achievers outperformed children with MD on measures of verbal problem solving (M=−0.58), naming speed (M=−0.70), verbal (M=−0.70) and visual-spatial working memory (WM, M=−0.63), and long-term memory (LTM, M=−0.72). The results further indicated that children with MD outperformed children with combined disabilities on measures of literacy (M=0.75), visual-spatial problem solving (M=0.51), LTM (M=0.44), short-term memory (STM) for words (M=0.71), and verbal WM (M=0.30). Children with MD could only be clearly differentiated from children with RD on measures of naming speed (−0.23) and visual-spatial WM (−0.30). The magnitude of ESs was persistent across age and severity of math disability. Hierarchical linear modeling (HLM) indicated that the magnitude of ES in overall cognitive functioning between MD and average achievers was due to verbal WM deficits when the effect of all other variables (e.g., age, IQ, reading level, other domain categories) were partialed out. The results are discussed within the context of defining MD by level of severity of WM abilities.

Drawing from theories of modernization and socioemotional selectivity, this study investigates the effect of familial support on the relationship between immigrant generation and mental health service use for Asian American and Latinx older adults.

Using the data from the National Latino and Asian American Study (NLAAS) 2002–2003, nested logistic regressions (N = 810) were used to test the effects of familial support (parent–child relationship quality) on the relationship between immigrant generation and the use of mental health services. Differences in familial support between older adults and their younger counterparts were also accounted for.

The results indicate that familial support partially attenuates the relationship between immigrant generation and mental health service use, but only for Latinx groups. Familial support was not significantly different for older adults than that of those younger in age.

Findings suggest the need for a better understanding of familial support as it relates to mental health service use for these groups. Approaches to improving the access to, and the overall use of, mental health services should be sensitive to ethnic variation. Immigrant groups may also endure stressors associated with legal and citizenship status. Future research should consider the effect of these political identities on mental health. Studies on parent–child relationship quality should also be longitudinal in order to better understand the dynamic nature of familial support across the life course.

This chapter addresses gaps in the literature as Asian Americans are relatively understudied group with regard to mental health. Previous studies showed that US-born Asian American and Latinx populations are more likely to use mental health services than their foreign-born counterparts, but the effects of generation status and familial support for older adults are unclear.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

This paper studies earnings and labor force participation of native Swedes and recent immigrants in Sweden in response to the childcare reforms of 2001 and 2002 using a difference-in-differences approach and register-based data for the period of 1995–2009. Immigrant and native Swedish mothers are distinguished in order to study if increased accessibility to childcare might be particularly beneficial for groups facing obstacles in entering the labor market. The results show that the reforms had a positive effect on earnings and labor force participation among native mothers with preschool children. The group of immigrant mothers studied did not experience any gain in labor market outcomes as a response to the reform.