Population Studies-A Journal of Demography最新文献

The study of the mortality differences between groups has traditionally focused on metrics that describe average levels of mortality, for example life expectancy and standardized mortality rates. Additional insights can be gained by using statistical distance metrics to examine differences in lifespan distributions between groups. Here, we use a distance metric, the non-overlap index, to capture the sociological concept of stratification, which emphasizes the emergence of unique, hierarchically layered social strata. We show an application using Finnish registration data that cover the entire population over the period from 1996 to 2017. The results indicate that lifespan stratification and life-expectancy differences between income groups both increased substantially from 1996 to 2008; subsequently, life-expectancy differences declined, whereas stratification stagnated for men and increased for women. We conclude that the non-overlap index uncovers a unique domain of inequalities in mortality and helps to capture important between-group differences that conventional approaches miss.

The role of maternal nutrition in affecting offspring fertility, through alteration of foetal programming, has been demonstrated in animal-based experiments. However, results from human populations appear inconsistent and sometimes contradictory, likely because they have been based on single famine events. In this paper, we adopt a different approach. We combine official annual time series of daily nutrient availability with a sample of women's reproductive histories from the 1961 Italian Census to investigate the role of maternal nutritional status in pregnancy on offspring childlessness. The analysis therefore covers cohorts of females born between 1861 and 1939. Our results show a negative association between calorie availability in pregnancy and the odds of offspring childlessness, whereas no association is found between protein availability and offspring childlessness. The consequences of poor calorie intake were aggravated during the summer, likely due to the participation of pregnant women in physically demanding work.

Rising numbers of young unmarried men in India reflect a marriage squeeze that goes beyond the shortage of brides created by sex-selective abortion. We describe a decline in men's marriageability caused by their falling economic prospects at the same time as families of brides are increasingly seeking grooms with stable employment. We group young men into those without jobs or much education, those with education but no work, and the privileged few with education as well as employment. This classification resolves some of the seeming contradictions in the qualitative literature on marriage in India. Some of this literature talks about the rising prevalence of bride price and some about the persistence of dowry, while some papers reflect in general on the costs of being young, male, and aimless. Our commentary includes a review of the growing literature on the physiological and (perhaps) consequently behavioural and health outcomes of men's anomie.

Cross-national studies of age patterns among couples have tended to compare the ages at which men and women first marry, but few have analysed age differences between current spouses or cohabiting partners (i.e. partner age gaps). We address this gap in the literature by using recent census and survey data to analyse age differences between current partners in 130 countries. Worldwide, men are an average of 4.2 years older than their wives or cohabiting partners. However, age gaps vary by region, ranging from 8.6 years in sub-Saharan Africa to 2.2 years in North America. The religious group with the largest age gap is Muslims (6.6 years), while the smallest age gap is seen among Jews (2.2 years). Differences between Muslims and non-Muslims remain even after controlling for country-level gender inequality and per-capita GDP.Supplementary material is available for this article at: https://doi.org/10.1080/00324728.2022.2094452.

The role of employment uncertainty as a fertility driver has previously been studied with a limited set of constructs, leading to inconclusive results. We address this oversight by considering perceived stability of employment and perceived resilience to potential job loss as two key dimensions of employment uncertainty in relation to fertility decision-making. The present study relies on the 2017 Italian Trustlab survey and its employment uncertainty module. We find that perception of resilience to job loss is a powerful predictor of fertility intentions, whereas perception of employment stability has only a limited impact. The observed relationship between resilience and fertility intentions is robust to the inclusion of person-specific risk attitude and does not depend on the unemployment rate or the share of fixed-term contracts in the area of residence. We conclude that the notion of employment uncertainty includes distinct expectations towards the future, which should be considered separately to understand fertility decision-making.Supplementary material for this article is available at: https://doi.org/10.1080/00324728.2021.1939406.

Altered childbearing behaviour has been observed in many settings of violent conflict, but few studies have addressed fertility control. This is the first study to investigate empirically the relationship between local conflict and uptake of sterilization, the only contraceptive method that reflects a definitive stop to childbearing. The study is based on Colombia, a middle-income, low-fertility, and long-term conflict setting. It builds on a mixed methods approach, combining survey and conflict data with expert interviews. Fixed effects regressions show that local conflict is generally associated with an increased sterilization uptake. The interviews suggest that women may opt for sterilization when reversible methods become less accessible because of ongoing violence. Since sterilization is a relatively available contraceptive option in Colombia, it may represent a risk-aversion strategy for women who have completed their fertility goals. These findings can enlighten research and programmes on fertility and family planning in humanitarian contexts.

The Internet has fundamentally altered how we communicate and access information and who we can interact with. However, the implications of Internet access for partnership formation are theoretically ambiguous. We examine their association using data from the National Longitudinal Survey of Youth (NLSY97) and Current Population Survey (CPS) in the United States. We find that the relationship between Internet access and partnership states (in the NLSY97) or partnership status (in the CPS) is age-dependent. While negative at the youngest adult ages, the association becomes positive as individuals reach their mid- to late 20s, for both same-sex and different-sex partnerships. The results suggest that Internet access is positively associated with union formation when individuals enter the stage in the young adult life course when they feel ready to commit to a long-term partnership. Our study contributes to a growing literature that highlights the implications of digital technologies for demographic processes.Supplementary material for this article is available at: https://doi.org/10.1080/00324728.2021.1999485.

Investigating seasonal variation in health helps us understand interactions between population, environment, and disease. Using information on birth month and year, survival status within the first year of life, and age at death (if applicable) of more than 330,000 children observed in four rounds of India's Demographic and Health Surveys, I estimate period mortality rates between birth and age one (₁m₀) by calendar month. Relative to spring months, infant mortality is higher in the summer, monsoon, and winter months. If spring mortality conditions had been prevalent throughout the year, mortality below age one would have been lower by 11.4 deaths per 1,000 in the early 1990s and 3.7 deaths per 1,000 in the mid-2010s. Seasonal variation in infant mortality has declined overall but remains higher among disadvantaged children. The results highlight the multiple environmental health threats that Indian infants face and the short time of year when these threats are less salient.

After 30 years of active development, mechanistic models of the reproductive process nearly stopped attracting scholarly interest in the early 1980s. In the following decades, fertility research continued to thrive, relying on solid descriptive work and detailed analysis of micro-level data. The absence of systematic modelling efforts, however, has also made the field more fragmented, with empirical research, theory building, and forecasting advancing along largely disconnected channels. In this paper we outline some of the drivers of this process, from the popularization of user-friendly statistical software to the limitations of early family building models. We then describe a series of developments in computational modelling and statistical computing that can contribute to the emergence of a new generation of mechanistic models. Finally, we introduce a concrete example of this new kind of model, and show how they can be used to formulate and test theories coherently and make informed projections.

This study examines the interplay between race/ethnicity and educational attainment in shaping completed fertility in the United States for women born 1961-80. Using data from the National Survey of Family Growth, 2006-17, we apply multilevel, multiprocess hazard models to account for unobserved heterogeneity and to estimate (1) cohort total fertility rates, (2) parity progression ratios, and (3) parity-specific fertility timing, for non-Hispanic white, non-Hispanic Black, and Hispanic women by educational attainment. We find that compared with their white counterparts, fertility was higher among Black and Hispanic women with less than high school education. However, among college-educated women, fertility levels were lowest among Black women and highest among Hispanic women. The difference in fertility between college-educated Black and white women is driven mainly by the smaller proportion of Black mothers having second births. We find little evidence that the observed racial/ethnic disparities in fertility levels by educational attainment are driven by differences in fertility timing.