Beyond Absenteeism: Father Incarceration and Child Development

High rates of incarceration among American men, coupled with high rates of fatherhood among men in prison, have motivated recent research on the effects of parental imprisonment on children’s development. We use data from the Fragile Families and Child Wellbeing Study to examine the relationship between paternal incarceration and developmental outcomes for approximately 3,000 urban children. We estimate cross-sectional and longitudinal regression models that control not only for fathers’ basic demographic characteristics and a rich set of potential confounders, but also for several measures of pre-incarceration child development and family fixed effects. We find significant increases in aggressive behaviors and some evidence of increased attention problems among children whose fathers are incarcerated. The estimated effects of paternal incarceration are stronger than those of other forms of father absence, suggesting that children with incarcerated fathers may require specialized support from caretakers, teachers, and social service providers. The estimated effects are stronger for children who lived with their fathers prior to incarceration but are also significant for children of nonresident fathers, suggesting that incarceration places children at risk through family hardships including and beyond parent-child separation.     

Caregiver Decision-Making: Household Response to Child Illness in Sub-Saharan Africa

We draw upon a framework outlining household recognition and response to child illness proposed by Colvin et al. (Soc Sci Med 86:66–78, 2013) to examine factors predictive of treatment sought for a recent child illness. In particular, we model whether no treatment, middle layer treatment (traditional healer, pharmacy, community health worker, etc.), or biomedical treatment was sought for recent episodes of diarrhea, fever, or cough. Based on multinomial, multi-level analyses of Demographic and Health Surveys from 19 countries in sub-Saharan Africa, we determine that if women have no say in their own healthcare, they are unlikely to seek treatment in response to child illness. We find that women in sub-Saharan Africa need healthcare knowledge, the ability to make healthcare decisions, as well as resources to negotiate cost and travel, in order to access biomedical treatment. Past experience with medical services such as prenatal care and a skilled birth attendant also increases the odds that biomedical treatment for child illness is sought. We conclude that caregiver decision-making in response to child illness within households is critical to reducing child morbidity and mortality in sub-Saharan Africa.     

Mapping Patterns of Multiple Deprivation and Well-Being using Self-Organizing Maps: An Application to Swiss Household Panel Data

The aim of this paper is to propose multidimensional measures of deprivation and wellbeing in contemporary Switzerland, in order to overcome the limitations of standard approaches. More precisely, we have developed self organising maps (SOM) using data drawn from the 2009 Swiss Household Panel wave, in order to identify highly homogeneous clusters of individuals characterized by distinct profiles across 44 indicators of deprivation and well-being. SOM is a vector quantiser that performs a topology-preserving mapping of the k-dimensional input data to a two-dimensional, rectangular grid of output units, preserving as much as possible the information contained in the original input data. “Topology-preserving” means that, when an SOM is properly developed, units that are close in the output space are also close in the input space. Our results suggest that the SOM approach could improve our understanding of complex and multidimensional phenomena, like those of well-being, deprivation, vulnerability, that show only a partial overlapping with standard income poverty measures.     

Social Deprivation and Rural Public Health in China: Exploring the Relationship Using Spatial Regression

Social Indicators Research - Rural public health still faces serious challenges in China. These challenges in rural public health reduce peasants’ well-being and social satisfaction....     

Socio-demographic Components of Eudaimonic Well-Being: A Survey in an Italian Province

This work is part of a well-established strand of study about quality of life (QoL) and the different methodologies for its quantitative evaluation. The study focuses on a specific dimension of QoL, that of the eudaimonic well-being (EuWB), with two main objectives. On the one hand, we try to clarify how EuWB can be framed in the systematizations of QoL proposed in the literature. Its relation to the concept of subjective well-being is discussed, and the need to distinguish such approach from the so-called hedonic dimension of QoL is highlighted. On the other hand, the paper aims to investigate the link between the perception of EuWB and individual socio-demographic characteristics through a quantitative analysis based on the results of a survey. The survey carried out in Central Italy in 2010, involved a sample of 1,134 individuals, which are classified according to their perception of EuWB. An analysis of the socio-demographic characteristics within the EuWB groups is then performed in order to investigate the association between these variables and the perception of EuWB. Results are discussed with respect to the evidences from similar surveys found in the literature. The analysis confirms the influence of some variables on the perception of EuWB, yet it underlines the difficulty in comparing different studies on QoL without clarifying to which of the different declensions of this concept the survey methodology refers to.     

Monitoring Socio-demographic Risk: A Cohort Analysis of Families Using Census Micro-Data

We apply cohort techniques to monitor four indicators of socio-demographic risk crucial to family wellbeing; namely, income, employment, education, and housing. The data were derived from New Zealand??s five-yearly Census for the period 1981?C2006. This allowed us to track birth cohorts of mothers (and their families) over six successive New Zealand censuses focusing on the main childrearing ages of 20?C59. This produced ten cohorts??termed ??open familial cohorts????ranging from mothers born in the period 1932?C1937 through to 1977?C1981. We present age, period and cohort analyses. Families in which the mother is in her early 20s were the most vulnerable, with the lowest incomes, the greatest risk of worklessnes, and the lowest levels of home ownership. Of particular interest is that those in the most recent cohorts??born since 1967??were worse off compared to earlier cohorts. The period from the mid-1980s to the mid-to-late 1990s was one of greatest ??socio-demographic risk??, with the lowest work, income and education prospects over the 25?years. The picture on generational profiles was mixed. Contrary to popular mythology the ??baby-boomer?? cohorts did not enjoy an unqualified advantage over others; indeed the most recent cohorts were doing well, with relatively high incomes, education and work levels. The analysis is successful in identifying age and period effects over a period of major social change, and in documenting cohort experiences for each indicator, thus demonstrating the potential of constructing cohorts from routinely-collected census micro-data for monitoring and policy purposes.     

Child Mobility,Maternal Status,and Household Composition in Rural South Africa

This article examines the influence of maternal status, socioeconomic status of the household, and household composition on the mobility of children aged 0–14 in Mpumalanga Province, South Africa, from 1999 to 2008. Using data from the Agincourt Health and Demographic Surveillance System, we found that children whose mothers were temporary migrants, living elsewhere, or dead had higher odds of moving than children whose mothers were coresident. Older children and children living in richer households faced lower odds of mobility. For children whose mothers were coresident, there was no effect of maternal substitutes on child mobility. However, among children whose mothers were temporary migrants or living elsewhere, the presence of prime-aged and elderly females lowered the odds of mobility. For maternal orphans, the presence of elderly women in the household lowered their odds of mobility. The results underscore the importance of examining the conditions under which children move in order to strengthen service delivery targeted at safeguarding children’s well-being.     

Relationship Transitions and the Risk for Child Maltreatment

Family structure as a risk for child maltreatment has long been viewed as a static state in the child maltreatment literature. Drawing on data from the Fragile Families and Child Wellbeing Study, the author uses a series of individual fixed-effects models to investigate whether particular types of relationship transitions over children’s first decade of life are associated with increased risk for maternal and paternal child abuse and maternal neglect. Findings question and confirm a number of long-standing theoretical and empirical findings from the child maltreatment literature. Results indicate that transitions to being single are associated with increased risk for maternal child abuse and neglect. In addition, the frequency and severity of paternal harsh parenting may be closely linked with the nature of fathers’ relationship transitions. Last, results largely do not provide support for the theory that the presence of social (nonbiological) fathers increases mothers’ risk for engaging in child abuse or neglect.     

Relationship Between Household Food Poverty and Vulnerability to Food Poverty: Evidence from Nigeria

Poverty and vulnerability to poverty are major challenges facing developing countries and have attracted the attention of development economists and policy analysts in recent years. This study examined the relationship between household food poverty and vulnerability to food poverty in Nigeria based on data from Nigeria Living Standard Survey (NLSS) (2004) obtained from the National Bureau of Statistics. A least-cost technique associated with the food-energy-intake approach was used to compute zone-specific food poverty lines based on the food baskets common to each geo-political zone; the Foster–Greer–Thorbecke (FGT) poverty index was used in computing food poverty incidence; the three-step feasible generalised least squares (3FGLS) procedure was used in estimating the magnitude of vulnerability to food poverty; cross tabulation and Pearson’s product moment correlation coefficient were utilised for the purpose of analysing the association between household food poverty and vulnerability to food poverty. The food poverty incidence was 50.23 % while the vulnerability to food poverty incidence was 61.68 % and the vulnerability to food poverty/food poverty ratio was 1.228. The food poor were more vulnerable to food poverty than the non food poor. There was significant positive correlation between food poverty incidence and vulnerability to food poverty incidence even though the correlation was not very strong. Thus, policies and programmes that will optimally reduce food poverty and vulnerability to food poverty should be adopted in Nigeria; these should be targeted more on the food poor. This is a major way to break the yoke of underdevelopment in Nigeria.     

Household and Context Determinants of Child Labor in 221 Districts of 18 Developing Countries

We develop a new theoretical framework that explains the engagement in child labor of children in developing countries. This framework distinguishes three levels (household, district and nation) and three groups of explanatory variables: Resources, Structure and Culture. Each of the three groups refers to another strand of the literature; economics, sociology and anthropology. The framework is tested by applying multilevel analysis on data for 239,120 children living in 221 districts of 18 developing countries. This approach allows us to simultaneously investigate effects of household and context factors. At the household level, we find that resources and structural characteristics influence child labor, whereas cultural characteristics have no effect. With regard to context factors, we find that children work more in rural areas, especially if there are more unskilled manual jobs, and in more traditional urban areas. In more developed regions, girls tend to work significantly less.     

Minimal Household Units: A New Approach to the Analysis of Household Formation

In this paper a new method for the analysis of household formation and the composition of households is described. The components, or building blocks, which combine to form households are identified and these have been called ‘minimal household units’. The focus of the analysis is on whether a minimal household unit sets up as a separate household or, if not, with whom it is shared. An economic theory of household formation is outlined, and a probit model is used to guide the estimation of the effects of economic and demographic characteristics of the minimal household unit on the probability of being a separate household, economic factors, such as the unit's income, and other social and demographic characteristics of the unit's members are shown to have a significant influence on the probability of its being a separate household.     

农民工汇款与家庭收入不平等:基于反事实收入的分析

本文利用来自于农村劳动力输出大省湖北省的调研数据来考察农民工汇款对输出地家庭收入不平等的影响。研究结果表明,当我们简单将农民工汇款看成外生的转移收入时,农民工汇款能改善农村家庭的收入不平等状况。不过,当考虑到农村劳动力外出务工的选择性,并通过引入工具变量来构建那些外出劳动力户的反事实收入时,我们会得到相反的结论:由于那些外出务工劳动力往往来自于经济状况较好的家庭,农民工汇款扩大了农村家庭的收入不平等状况,家庭人均收入的基尼系数从反事实收入情形下的0.3551上升至实际收入情形下的0.3774。     

外出务工、家庭老人特征及农村家庭贫困的关联研究

采用随机效应面板泊松回归模型,运用中国健康与营养调查数据库中2006—2011年间四次调查面板数据,分析家庭外出特征及家庭老人特征与家庭贫困发生次数的关联性.实证结果显示,家庭外出次数、 有无老人及老人生活质量等变量与家庭贫困发生次数有显著的相关性.进一步对家庭外出特征研究发现,家庭老人特征、 贫困发生次数及上年是否从事农业等变量对外出特征有显著的影响,且外出次数与外出人数也呈现出显著相关性.为消除内生性影响,引入工具变量外出工资收入后,发现外出工资收入与外出次数、 人数都有显著正相关性,老人生活质量变量显著负向影响家庭外出次数,家庭有无老人变量显著正向影响外出人数,老人有无慢性病变量显著负向影响外出人数.     

The Income-Fertility Relationship: Effect of the Net Price of a Child

This article examines the relationship between income and completed family size in empirical fertility models. The relationship, which is hypothesized to be positive, often is negative in empirical studies. This perverse result is thought to occur because of the many correlations between income and other factors that affect fertility. In this research, these other factors--such as the net price of a child, the opportunity cost of the wife's time, and supply factors--are statistically controlled, and the income effect is positive and significant. When the net price of a child is not controlled, however, the income effect becomes negative and significant.     

Child Spacing in the Philippines: The Effect of Current Characteristics and Rural Development

In this study the effects of characteristics current at the beginning of the birth interval on the time elapsing before the next birth are examined. The child-spacing process is viewed as affected by time-varying and fixed characteristics of the community, household, and individual. In the model on which the empirical research is based sociological and economic antecedents are used. The study is based on data from two panels of the Bicol Multipurpose Survey collected in 1978 and 1983. These furnish detailed histories of pregnancy and contraception, together with an extensive set of socio-economic data. Detailed information on services and facilities available in each of the 100 sample communities is also available. Because of the large rural development programme introduced in various sub-areas of the Bicol region, substantial changes in the rural infrastructure and in availability of health and family planning facilities and services occurred between 1976 and 1980, the period on which the analysis is focused. Our results clearly show that current characteristics at the individual, household, and community levels have significant and interpretable effects on the lengths of birth intervals.     

Income Satisfaction and Relative Deprivation: An Empirical Link

This paper explores the relationship between two well-established concepts of measuring individual well-being: the concept of happiness, i.e. self-reported level of satisfaction with income, and relative deprivation, i.e. the gaps between the individual’s income and the incomes of all individuals richer than him. Operationalizing both concepts using micro panel data from the German Socio-Economic Panel, we provide empirical evidence for subjective well-being depending more on relative deprivation than on absolute levels of income. This finding holds after controlling for other influential factors in a multivariate setting.      

Child support and welfare dependence: A multinomial logit analysis

The relation between welfare dependency and receipt of child support is investigated with data from a special supplement to the Current Population Survey. The impact of receiving child support on a family's welfare status is estimated and the types of families for which child support enforcement policies may have the greatest impact are identified. Overall, the results indicate that receipt of child support has a modest impact on reducing welfare dependency. However, the results also indicate that if child support obligations can be established and enforced shortly after a marital dissolution takes place, the likelihood that a family will later become a welfare recipient is significantly reduced.     

Childhood and Capability Deprivation in Germany: A Quantitative Analysis Using German Socio-Economic Panel Data

Child poverty has been widely discussed in Germany since the publication of the third official Poverty and Wealth Report of the German government in 2008 which—inter alia—focused on the situation of children and families. However, child poverty is not only caused by low household incomes and impacts of child poverty are not only restricted to financial consequences. The capability approach takes into account this multidimensionality of well-being and poverty of children. It conceptualizes human well-being as not only depending on financial means but also gives the same importance to the personal and social conversion factors which determine how far financial means can be converted into personal well-being. Before 2008 the capability approach had only been applied to the well-being of adults in Germany, but not specifically to the well-being of children. However, there are several reasons why a capability analysis for children will differ from a capability analysis for adults. Adults’ capability sets comprise dimensions that are less relevant for small children while other valuable capabilities have to be added. Furthermore the capability set depends to a large extent on the age of the child. The paper focuses on a multidimensional poverty analysis in the capability perspective of 5–6 years old children. In the domains of “Education/Leisure”, “Health”, “Social Participation” and “Income” child poverty is measured by predefined indicators. The relationship to the social and personal conversion factors of the caretakers is then evaluated. Additionally, a multidimensional poverty measure is analyzed.     

Household and Contextual Indicators of Poverty in Tunisia: A Multilevel Analysis

Using micro data from the 2010 National Survey on Households’ Budget, Consumption and Standard of Living, this study aims to investigate main factors contributing to poverty distribution, one of the most severe socioeconomic problems in Tunisia. To this end, we use a multilevel Logit model and a multilevel mixed linear model to simultaneously analyze the micro-level (household) and macro-level (governorate) factors that might affect the household poverty status. Household size, household composition, occupation, education levels, the gender of the household head and the number of earner by household variables were assessed at the micro-level. Unemployment rate, poverty rate, industrial and agriculture parts and the migration are included to control the effect of contextual effects. Our findings showed that the likelihood of household being poor is positively and significantly related to household size, more children and lower education level. Extreme poverty is more likely to occur in rural than urban areas. Macro-level analyses indicated that greater neighbourhood unemployment rate was associated with higher odds of poverty, while greater industrial agglomeration and migration balance were associated with reduced odds of poverty.