Towards the Use of Crowdsourced GIS Data to Georeference Child Well-Being Globally

Child well-being is described as a social problem, such that in most cases social indicators defined by experts are used, without much input from local and heterogeneous communities. This article makes the case for an innovative way to monitor and explore child well-being globally, while also critiquing currently used indices. Based on Nussbaum’s Capabilities approach, we propose to formulate indices by using GIS and a comprehensive list of relevant geospatial datasets, using uniquely designed meta-layers and feature catalogues. Moreover, we argue that these geospatial data can be collected and mapped by the local communities, through participatory approaches, thus not relying on authoritative engagement and data. This will contribute to the empowerment of communities, making them relevant stakeholders with valued contribution to the process. This paper outlines preliminary work related to concepts and ideas, whereas future work is planned to develop an elaborate and comprehensive GIS model, and conduct further spatial analysis in the framework of a small scale campaign.     

The effects of school desegregation on mixed-race births

We find a strong positive raw correlation between black exposure to whites in their school district and the prevalence of later mixed-race (black-white) births, consistent with the literature on residential segregation and endogamy. However, that relationship is significantly attenuated by the addition of a few control variables, suggesting that individuals with higher propensities to have mixed-race births are more likely to live in desegregated school districts. We exploit quasi-random variation from court-ordered school desegregation to estimate causal effects of school desegregation on mixed-race childbearing, finding small to moderate effects that are largely statistically insignificant. Because the upward trend across cohorts in mixed-race childbearing was substantial, separating the effects of desegregation plans from secular cohort trends is difficult; results are sensitive to how we specify the cohort trends and to the inclusion of Chicago/Cook County in the sample. The fact that the addition of a few control variables substantially weakens the cross-sectional relationship between lower levels of school segregation and higher rates of mixed-race childbearing suggests that a substantial portion of the observed correlation is likely due to who chooses to live in places with desegregated schools. Researchers should be cautious about interpreting raw correlations between segregation—whether residential or school—and other outcomes as causal. Our results also point to the need to carefully explore specification of cohort effects in quasi-experimental designs for treatments where cumulative exposure is important.     

Rethinking the effectiveness of family planning in Africa

For the past 50 years there has been a near global consensus that the demands of development necessitate that couples reduce their fertility as a critical act which would jump start economic growth. This consensus heralded the era of the One Child policy and over 90% of least developed states continue to run programs which seek to induce lower fertility rates in their populations. However, a growing body of literature is questioning both the validity and utility of these interventions. This article seeks to contribute to the rethinking of family planning programs. Using new data on family planning scores from forty two African states this article shows that rates of fertility are unlikely to be affected by the strength of family planning programs at lower levels of development. However, at moderate levels of development, family planning programs may contribute to accelerating the decline in fertility initiated by exogenous factors. These findings offer a fresh perspective on the wide spread adoption of family planning policy that permeates the developing world.     

Paternal Incarceration and Adolescent Social Network Disadvantage

Previous research has suggested that adolescent peers influence behavior and provide social support during a critical developmental period, but few studies have addressed the antecedents of adolescent social networks. Research on the collateral consequences of incarceration has explored the implications of parental incarceration for children’s behavioral problems, academic achievement, health, and housing stability, but not their social networks. Using network data from the National Longitudinal Study of Adolescent Health, I find that adolescents with recently incarcerated fathers are in socially marginal positions in their schools and befriend more-marginal peers than other adolescents: their friends are less advantaged, less academically successful, and more delinquent than other adolescents’ friends. Differences in network outcomes are robust to a variety of specifications and are consistent across race and gender subgroups. This study advances the social networks literature by exploring how familial characteristics can shape adolescent social networks and contributes to the collateral consequences of incarceration literature by using network analysis to consider how mass incarceration may promote intergenerational social marginalization.     

On the kidney exchange problem: cardinality constrained cycle and chain problems on directed graphs: a survey of integer programming approaches

The Kidney Exchange Problem (KEP) is a combinatorial optimization problem and has attracted the attention from the community of integer programming/combinatorial optimisation in the past few years. Defined on a directed graph, the KEP has two variations: one concerns cycles only, and the other, cycles as well as chains on the same graph. We call the former a Cardinality Constrained Multi-cycle Problem (CCMcP) and the latter a Cardinality Constrained Cycles and Chains Problem (CCCCP). The cardinality for cycles is restricted in both CCMcP and CCCCP. As for chains, some studies in the literature considered cardinality restrictions, whereas others did not. The CCMcP can be viewed as an Asymmetric Travelling Salesman Problem that does allow subtours, however these subtours are constrained by cardinality, and that it is not necessary to visit all vertices. In existing literature of the KEP, the cardinality constraint for cycles is usually considered to be small (to the best of our knowledge, no more than six). In a CCCCP, each vertex on the directed graph can be included in at most one cycle or chain, but not both. The CCMcP and the CCCCP are interesting and challenging combinatorial optimization problems in their own rights, particularly due to their similarities to some travelling salesman- and vehicle routing-family of problems. In this paper, our main focus is to review the existing mathematical programming models and solution methods in the literature, analyse the performance of these models, and identify future research directions. Further, we propose a polynomial-sized and an exponential-sized mixed-integer linear programming model, discuss a number of stronger constraints for cardinality-infeasible-cycle elimination for the latter, and present some preliminary numerical results.     

The thickness of the complete multipartite graphs and the join of graphs

The thickness of a graph is the minimum number of planar spanning subgraphs into which the graph can be decomposed. It is known for relatively few classes of graphs, compared to other topological invariants, e.g., genus and crossing number. For the complete bipartite graphs, Beineke et al. (Proc Camb Philos Soc 60:1–5, 1964) gave the answer for most graphs in this family in 1964. In this paper, we derive formulas and bounds for the thickness of some complete k-partite graphs. And some properties for the thickness for the join of two graphs are also obtained.     

Family Instability and Material Hardship: Results from the 2008 Survey of Income and Program Participation

This study used longitudinal, nationally representative data from the 2008 Survey of Income and Program Participation to explore how each of six sources of instability (employment shocks, household formation shocks, residential changes, income changes, household size changes, and disability shocks) impacted the key domains of material hardship (food insecurity and medical, housing and essential expense hardship). The study found that income shocks and having a person with a disability join the household were the only consistent triggers for all types of material hardship, and that overall, sources of instability had an asymmetrical impact on material hardship; that is, sources of instability did not help households when they were removed as much as they harmed households when introduced. These results provided a nuanced understanding of the household dynamics that result in economic and family instability in the US and provided new evidence regarding why some households were unable to cover basic needs.     

Fundamental accrued capital gains and the measurement of top incomes: an application to Chile

Most previous studies of income inequality have either ignored capital gains or have used taxable realized capital gains to estimate top incomes. Neither of these approaches is fully satisfactory. We apply for the first time a new methodology that allows us to account for fundamental accrued capital gains as part of the top incomes in a theoretically consistent manner. We estimate the shares of the super-rich in Chile showing that accrued capital gains have a large impact on these estimates. Also, the top income shares estimated using fundamental capital gains appear to exhibit a more stable and presumably more plausible time profile than estimates based on capital gains derived from asset market variations.     

The Migrant–Nonmigrant Differentials in Prenatal Care Utilization: Evidence from Indonesia

Using the 2000 wave of Indonesian Family Life Survey (IFLS3), this study attempts to further complement studies that seek to analyze the relationship between migration and prenatal care utilization in Indonesia. The major conclusion from the multilevel logistic regression suggests that migrants are less likely than non-migrants to seek prenatal care in a public or private hospital but are more likely than non-migrants to initiate prenatal care in their first trimester and to receive four or more prenatal visits. Several measures of child, woman, household and community characteristics are also significant predictors of the location, timing and frequency of prenatal care. It is evident that the design of effective and efficient policies requires a more comprehensive knowledge of the determinants of migration and maternal healthcare services utilization. The assessment of whether the extent of the location, timing and frequency of prenatal care differs between migrants and non-migrants would have important policy implications for both individuals and society at large.