Measures of kinship size are increasingly common in sociodemographic studies. The size and structure of older adults' kinship networks can be ascertained via direct observation in a social survey or modeled using demographic techniques. Each approach has advantages and disadvantages, but whether the two provide comparable estimates of kinship size is an open question. In this research note, we answer this question using social survey data and demographic models to estimate the size of older adults' kinship networks in 22 European countries. We find an impressively high association between the two approaches, with important variations by the kin type considered. We discuss the reasons for the divergence in the estimates and provide guidance for researchers interested in using either approach to quantify kinship size.

Understanding widowhood duration is essential for individuals and effective widow support policies, yet widowhood duration remains an understudied topic. In this article, we provide a quantitative estimation of the impact of three primary determinants of expected widowhood duration at age 60 in a unified framework: (1) the degree of overlap between male and female mortality distributions, (2) the spousal age gap, and (3) the dependence of spousal mortality. Using French life tables from 1962 to 2070 and simulations based on the Gompertz law and a bivariate Gaussian copula, we assess each determinant's relative influence. Our findings show that ignoring spousal mortality dependence overestimates widowhood duration by three years, whereas disregarding the spousal age gap underestimates it by one year. In France, expected widowhood duration at age 60 in 2020 was 10.4 years for females and 5.8 years for males. Despite converging gender life expectancies, our projections suggest that widowhood duration will remain high until 2070, at 9.2 years for females and 6.2 years for males. Notably, we identify a negative gradient in widowhood duration along the standard-of-living distribution.

This study assesses the initial effects of the 2016 Brexit referendum on the mobility of academic scholars to and from the United Kingdom (UK). We leverage bibliometric data from millions of Scopus publications to infer changes in the countries of residence of published researchers by the changes in their institutional affiliations over time. We focus on a selected sample of active and internationally mobile researchers whose movements are traceable for every year between 2013 and 2019 and measure the changes in their migration patterns. Although we do not observe a brain drain following Brexit, we find evidence that scholars’ mobility patterns changed after Brexit. Among the active researchers in our sample, their probability of leaving the UK increased by approximately 86% if their academic origin (country of first publication) was an EU country. For scholars with a UK academic origin, their post-Brexit probability of leaving the UK decreased by approximately 14%, and their probability of moving (back) to the UK increased by roughly 65%. Our analysis points to a compositional change in the academic origins of the researchers entering and leaving the UK as one of the first impacts of Brexit on the UK and EU academic workforce.

The sibling correlation (SC), which estimates the total effect of family background (i.e., social origins), can be interpreted as measuring a society's inequality of opportunity. Its sensitivity to observed and unobserved factors makes the SC an all-encompassing measure and an attractive choice for comparative research. We gather and summarize all available estimates of SCs in educational attainment (M = .46, SD = .09) and employ meta-regression to explore variability in these estimates. First, we find significantly lower SCs in Sweden, Norway, Finland, and Denmark than in the United States, with U.S. correlations roughly .10 (i.e., 25%) higher. Most other (primarily European) countries in our study are estimated to fall in between these countries and the United States. Second, we find a novel Great Gatsby Curve–type positive association between income inequality in childhood and the SC, both cross-nationally and within countries over time. This finding supports theoretical accounts of the Great Gatsby Curve that emphasize the role of educational inequality as a link between economic inequality and social immobility. It implies that greater equality of educational opportunity likely requires reduced economic inequality. Additionally, correlations between sisters are modestly higher, on average, than those between brothers or all siblings, and we find no overall differences between cohorts.

We conduct a randomized controlled trial that provides pregnant and immediate postpartum women with improved access to family planning through counseling, free transportation to a clinic, and financial reimbursement for family planning services over two years. We study the effects of our intervention on child growth and development outcomes among 1,034 children born to participating women directly before the intervention rollout. We find that children born to mothers assigned to the family planning intervention arm were 0.28–0.34 standard deviations taller for their age and 10.7–12.0 percentage points less likely to be stunted within a year of exposure to the intervention. Children born to mothers assigned to the intervention arm also scored 0.17–0.20 standard deviations higher on a caregiver-reported measure of cognitive development after two years of intervention exposure. Although the nonmeasurement of children is a challenge in our study, our estimates are robust to multiple methods of correcting for potential attrition bias. Our results are consistent with models of fertility that link couples’ fertility decisions to child health and human capital. Our results also suggest that improved access to family planning might have positive downstream effects on child health beyond contraceptive use and fertility outcomes.

Access to safe and stable housing is important for child and adult well-being. Yet many low-income households face severe challenges in maintaining stable housing. In this article, we examine the impact of the 2021 temporary expansion to the Child Tax Credit (CTC) on housing affordability and the living arrangements of families with low incomes. We employ a parameterized difference-in-differences method and leverage national data from a sample of parents who are receiving or recently received Supplemental Nutrition Assistance Program benefits (N = ∼20,500), many of whom became newly eligible for the CTC. We find that the monthly CTC reduced parents’ past-due rent/mortgages (both amounts and incidence) and their reports of potential moves due to difficulties affording rent/mortgages. The CTC increased the likelihood that parents reported a change in their living arrangements and reduced their household size, both effects driven by fewer mothers living with a partner (and not a reduction in doubling up). We find some differences in effects by race and ethnicity and earnings. Our findings illustrate that the monthly credit improved low-income parents’ ability to afford housing, gain residential independence from partners, and reduce the number of people residing in their household.

A burgeoning demographic literature documents the exceedingly high rates at which contemporary cohorts of women across the Global South experience the death of their children—even amid historic declines in child mortality. Yet, the patterning of maternal bereavement remains underinvestigated, as does the extent to which it replicates across generations of the same family. To that end, we ask: Are the surviving daughters of bereaved mothers more likely to eventually experience maternal bereavement? How does the intergenerational clustering of maternal bereavement vary across countries and cohorts? To answer these questions, we make use of Demographic and Health Survey Program data from 50 low- and middle-income countries, encompassing data on 1.05 million women and their mothers spanning three decadal birth cohorts. Descriptive results demonstrate that maternal bereavement is increasingly patterned intergenerationally across cohorts, with most women experiencing the same fate as their mothers. Multivariable hazard models further show that, on average, women whose mothers were maternally bereaved have significantly increased odds of losing a child themselves. In most countries, the association is stable across cohorts; however, in select countries, the risk associated with having a bereaved mother is shrinking among more recent birth cohorts.

The average age of infant deaths, a10, and the average number of years lived—in the age interval—by those dying between ages 1 and 5, a41, are important quantities allowing the construction of any life table including these ages. In many applications, the direct calculation of these parameters is not possible, so they are estimated using the infant mortality rate—or the death rate from 0 to 1—as a predictor. Existing methods are general approximations that do not consider the full variability in the age patterns of mortality below the age of 5. However, at the same level of mortality, under-five deaths can be more or less concentrated during the first weeks and months of life, thus resulting in very different values of a10 and a41. This article proposes an indirect estimation of these parameters by using a recently developed model of under-five mortality and taking advantage of a new, comprehensive database by detailed age—which is used for validation. The model adapts to a variety of inputs (e.g., rates, probabilities, or the proportion of deaths by sex or for both sexes combined), providing more flexibility for the users and increasing the precision of the estimates. This fresh perspective consolidates a new method that outperforms all previous approaches.

A growing proportion of individuals adopt family caregiving roles. Family caregivers are the primary providers of long-term care in the United States yet limited federal policy supports exist, despite the known negative impacts of caregiving. There is also limited information about the prevalence of youth/young adult caregivers and the impacts of caregiving at formative ages in the United States. Our objective is to estimate the prevalence of youth caregivers and examine the association of caregiving with educational investments. We use the American Time Use Survey (2013–2019) to identify and describe youth caregivers (aged 15–18) and young adult caregivers (aged 19–22) and compare them with non-caregiving peers. We estimate that there are approximately 1,623,000 youth caregivers and 1,986,000 young adult caregivers, corresponding to 9.2% and 12.7% of these age groups, respectively. However, there is a wide range in the estimated prevalence per year, from approximately 364,000 to 2.8 million youth caregivers and from 353,000 to 2.2 million young adult caregivers, depending on caregiver definition. Unlike adult caregivers, we find that young men and women were nearly equally likely to provide care. We also find that non-White individuals are disproportionately represented as youth caregivers. Compared with non-caregiving peers, both youth and young adult caregivers are less likely to be enrolled in school and, among those enrolled in school, spend significantly less time on educational activities. Considering the association of caregiving among youth/young adults and education, policies supporting youth and young adult caregivers are critical.

Despite rising numbers of only children in China, little is known about their family dynamics and well-being in adulthood—for example, how often they marry other only children and whether those in siblingless families have worse or better health than others. Theoretical expectations produce opposing predictions: siblings might provide social and emotional support and reduce parental caregiving pressures, but only children might receive more support from parents and grandparents. Using the 2010 China Family Panel Study, we examine marital sorting on Chinese adults’ number of siblings and test whether sibling availability and sibling sorting are associated with subjective physical and mental health. Despite general perceptions that China has an exceedingly high prevalence of adults with no siblings that might produce very small families, results demonstrate a low prevalence of siblingless couples (i.e., both spouses are only children). Married adults with no siblings or siblings-in-law have better subjective physical health but similar levels of subjective mental health relative to their counterparts with siblings. The health advantages of siblingless marital unions are greater for rural and female adults. Declining sibling prevalence in China will shape future family demographic dynamics but appears less detrimental to population health than sometimes assumed.