Search results

This research examines the effects of health, location, and other factors on receipt of wage income for young heads of households, aged 19 to 25, who lived in HUD-assisted housing and in other rental housing in 2011.

This chapter reports results of analyses of the 2011 American Housing Survey, merged with HUD administrative records, available as a public-use file at the U.S. Census Bureau.

Nineteen percent of young householders in assisted housing and 8% in other rental housing reported less than good health or a disability. Nearly two-thirds of young householders in assisted housing reported receipt of earned income. For respondents in assisted housing who reported good health and no disabilities, logistic regression models suggest that educational attainment beyond a high school diploma, more than one adult in the household, and living in metropolitan areas in the Midwest or West census regions were positively and statistically significant for receipt of earned income. For respondents in both assisted and other rental housing who reported less than good health and/or disabilities, residence in assisted housing or educational attainment beyond a high school diploma were positively associated with receipt of earned income, while residence in the metropolitan South lowered the odds of receipt of earned income.

Success of self-sufficiency programs will depend on accommodating the imperatives created by health, disability, and structural impediments created by a market economy.

This is the first analysis of health/disability and other barriers to paid employment that accurately identifies a nationally representative sample of young Millennials in HUD-assisted and other rental housing.

Purpose – The purpose of this study is to explore the concept of spatial modeling in adolescent and under-five children’s nutritional status.

Design/Methodology/Approach – The indicator used to identify spatial autocorrelation is the Local Indicator of Spatial Association (LISA). LISA is a method of exploratory analysis of spatial data capable of detecting spatial relationships at the local level and its effects globally. Aplication of stochastic modeling in spatial nutrition identification mapping can be categorized into two cases based on spatial autocorrelation and non-spatial autocorrelation.

Findings – This results of this study indicate that there is no spatial autocorrelation in the adolescent nutritional dataset. The thematic map for anemia showed that that the highest number of anemia in adolescents was in KutaAlam sub-districts (48 people). Sub-districts that were second most common were Meuraxa, Jaya Baru, and Baiturrahman sub-districts. The fewest cases were found in Lueng Bata sub-district (12 people). There were no sub-districts affected by neighboring areas, in the case of adolescents’ anemia in Banda Aceh. For the under-five nutritional data set, it shows that there are four factors that significantly affect spatial influence, which are malnutrition, chronic energy deficiency, woman of child-bearing age, proportion of family planning, percentage of households with PHBS and coverage of access to clean water.

Research Limitations/Implications – Anemia data were obtained with a school-based survey. Household survey would be better to implement in spatial analysis.

Practical Implications – The comparison of the dataset with the two methods provides a simple example to implement special autocorrelation in practice.

Social Implications – The results contribute to a much better comparison in many cases in the nutritional field.

Originality/Value – This is the initial nutritional status of adolescents in Banda Aceh.

The US fertility transition in the nineteenth century is unusual. Not only did it start from a very high fertility level and very early in the nation’s development, but it also took place long before the nation’s mortality transition, industrialization, and urbanization. This paper assembles new county-level, household-level, and individual-level data, including new complete-count IPUMS microdata databases of the 1830–1880 censuses, to evaluate different theories for the nineteenth-century American fertility transition. We construct cross-sectional models of net fertility for currently-married white couples in census years 1830–1880 and test the results with a subset of couples linked between the 1850–1860, 1860–1870, and 1870–1880 censuses. We find evidence of marital fertility control consistent with hypotheses as early as 1830. The results indicate support for several different but complementary theories of the early US fertility decline, including the land availability, conventional structuralist, ideational, child demand/quality-quantity tradeoff, and life cycle savings theories.

This chapter describes the Bornlearning ^® Academy (BLA), a school-based family engagement program predicated on the notion that families come to the table with knowledge and skills and can support children’s learning by building on what they are already doing. It takes place in a school building within the families’ school district, and it is a six-workshop series that utilizes materials available for free at bornlearning.org, a United Way Worldwide public engagement campaign. The goal of the BLA is to increase parents’/caregivers’ understanding of their role in the education process of their children and to facilitate familiarization and establishment of positive experiences with the school personnel and the school district for the children and their families. Survey data demonstrated that parents/caregivers from a range of backgrounds enjoyed and learned from various BLA workshops. Gains on content questions indicated the BLA attendees learned, and responses indicated that attendees both intended to use what they learned at the workshops in their own interactions with their children and actually followed through on those intentions.

UN Secretary General Kofi Annan in the opening quote reminds us that despite the medical and public health gains of recent decades, benefits have not accrued to the most vulnerable of citizens, children (DeYoung & Lynch, 2002). For decades research has quantified the links between poverty, ill-health and the global burdens imposed by disease. Yet, the distribution of poverty and disease has changed little over the last thirty years, continuing to be concentrated among poor children in both emerging and developed nations (Bellamy, 1999; Brundtland, 1999). Fundamentally, the complex web of poverty relegates youth to a lifetime of suffering because of the relationships between and among resources, health and neurological development.

This article is divided into seven sections randomly organized to address specific issues related to poor and destitute children in Sierra Leone. The contents are primarily flavored by the work and implementation dynamics of a small non-profit organization trying to make a dent in the welfare and upkeep of some of Sierra Leone's poor children. Sometimes the activities of our organization also touch the lives of adults, particularly when these adults are so poor that they are unable to provide for themselves and their children. The first section gives an introduction. The second section describes the country in geographical, educational, and socio-economic contexts. The third provides snapshots or vignettes of what it means to be poor and the realities of working among the poor in Sierra Leone. In the fourth section, we discuss the nature of child poverty in the country. Section five discusses probable contributions made by the state towards child poverty in Sierra Leone. Section six narrates the nature of the work done by the Leonenet Street Children Project.¹ Recommendations are made in section seven on what needs to be done to ameliorate the situation.

To investigate the association between country-level differences in childcare enrollment, the presence of affirmative action policy, and female parliamentary representation and individual-level conflict between work and family.

This study applies data from the 2002 International Social Survey Program (n = 14,000 + ) for respondents in 29 countries and pairs them with macro-level measures of childcare enrollment, the presence of affirmative action policy, and female parliamentary representation. I estimate the model using hierarchical linear modeling (HLM 7) and also assess cross-level interactions by gender and parental status.

The models show that female parliamentary representation has a robust negative association with individual-level reports of work–family and family–work conflict. These associations do not vary by gender or parental status. Also, mothers report less family–work conflict in countries with more expansive childcare enrollment, indicating that this welfare policy benefits the intended group.

This research implies that greater female parliamentary representation has widespread benefits to all citizens’, rather than just women’s or mothers’, work–family and family–work conflict. Additional longitudinal research would benefit this area of study.

This research suggests that increasing female parliamentary representation at the country-level may promote work–life balance at the individual-level. It also indicates that public childcare enrollment benefits women through lower family–work conflict which may encourage continuous maternal labor force participation and reduce economic gender inequality.

This chapter builds on an emerging area of work–family research applying multilevel modeling to draw empirical links between individual work–family experiences and macro-level structural variation.

This paper is the first to use the individual level, longitudinal catch-up growth of boys and girls in a historical population to measure their relative deprivation. The data is drawn from two government schools, the Marcella Street Home (MSH) in Boston, MA (1889–1898), and the Ashford School of the West London School District (1908–1917). The paper provides an extensive discussion of the two schools including the characteristics of the children, their representativeness, selection bias and the conditions in each school. It also provides a methodological introduction to measuring children’s longitudinal catch-up growth. After analysing the catch-up growth of boys and girls in the schools, it finds that there were no substantial differences between the catch-up growth by gender. Thus, these data suggest that there were not major health disparities between boys and girls in late-nineteenth-century America and early-twentieth-century Britain.

Under the Demand-Resources framework, more household dependents and higher levels of work–family conflict are demands on workers in high-income countries, yielding negative effects on worker wellbeing. The authors investigate how living in a household characterized by multiple types of dependency – where children and other adults are living with married, working respondents – shapes self-rated health. The authors further investigate whether work–family conflict mediates or moderates the relationship between this multi-faceted dependency and self-rated health, as expected. The authors exploit data from the 2014 General Social Survey and 2015 International Social Survey Program on over 2,000 individuals in Austria, France, Iceland, Switzerland, and the United States – the available countries with indicators appropriate to their research purpose. The authors employ logistic regression techniques to estimate individual self-rated health.

The authors find that living in a multi-faceted dependent household is actually associated with better self-rated health, while work–family conflict has a negative influence on self-rated health. There is also no evidence of strong mediating or moderating effects of work–family conflict on the positive association between living in a multi-faceted dependent household and health. These results suggest that individuals experience similar effects with regard to dependents and work–family conflict, regardless of their country of residence. Policy implications and suggestions for future research are discussed.