Population Studies最新文献

Family formation, a process that includes union formation, fertility, and their timing and order, has become increasingly diverse and complex in Europe. We examine how the relationship between socio-economic background and family formation has changed over time in France, Italy, Romania, and Sweden, using first wave Generations and Gender Survey data. Competing Trajectories Analysis, a procedure which combines event-history analysis with sequence analysis, allows us to examine family formation as a process, capturing differences in both the timing of the start of family formation and the pathways that young adults follow. Regarding timing, socio-economic background differences in France and Sweden have remained relatively small, whereas in Italy and Romania higher parental education has become more strongly associated with postponement. Pathways tend to diverge by socio-economic background, particularly in Sweden and France. These results indicate that while family formation patterns have changed, they continue to be stratified by socio-economic background.

The interplay between remarriage and fertility is among the most poorly documented subjects in sub-Saharan Africa (SSA), despite remarriage being one of the fundamental aspects of marriage dynamics in this region. We use Demographic and Health Survey data from 34 countries in SSA to document the association between remarriage and fertility during the reproductive years and over the fertility transition. The findings show that in 29 countries, remarried women end up having fewer children than women in intact unions, despite attaining similar or higher levels of fertility at early reproductive ages. However, remarriage is found to have a positive effect on fertility in Sierra Leone. The effects of remarriage on fertility diminish as fertility declines, with smaller effects generally observed in countries that are relatively advanced in their fertility transition and larger effects found elsewhere. These findings shed light on the role that remarriage might play in country-level fertility declines.

Chronological age, in conjunction with population life tables, is widely used for estimating future life expectancy. The aims of this study are to estimate a subjective ageing indicator, namely self-rated age, and to evaluate its concurrent validity in comparison with other age indicators: subjective survival probabilities, subjective age, and biological age. We use data from the Wave 6 of the Survey of Health, Ageing and Retirement in Europe, Wave 12 of the Health and Retirement Study in the United States, and life tables from the Human Mortality Database. For the statistical analysis we use multinomial regression models. Our results indicate that health status and frequency of physical activities imply similar patterns of self- rated age, subjective survival probabilities, subjective age, and biological age. However, the impact of cognitive function differs by geographical region. Self-rated age can be interpreted as a subjective adjustment that better reflects the ageing process.

With few exceptions, greater disparities in mortality risk by socio-economic status (SES) have been found among men than among women. Most research has also shown that the higher mortality risk after widowhood (the widowhood effect) is greater for men. However, a different picture appears when examining these associations jointly. Based on Swedish register data, this study shows that widowhood weakens, or even reverses, the sex differences in socio-economic disparities in mortality. The overall findings also indicate that higher SES elevates the widowhood effect for men but diminishes it for women, and that the widowhood effect is greater for women than men in the lowest SES categories. These results imply that men with higher SES are more vulnerable after widowhood, perhaps because of their previous relatively privileged situation. The disadvantage of widows in lower SES categories may reflect exposure to financial strains after spousal loss and inequalities in the healthcare system.

This paper argues that son preference resulted in gender-based discriminatory practices that unduly increased mortality rates for females at birth and throughout infancy and childhood in nineteenth- and early-twentieth-century Greece. The relative numbers of boys and girls at birth was extremely high and under-registration of females cannot on its own explain this result. The infanticide and/or mortal neglect of infant girls was therefore more common than previously acknowledged. Likewise, sex ratios increased as children grew older, thus suggesting that parents continued to treat boys and girls differently throughout childhood. A large body of qualitative evidence (contemporary accounts, folklore traditions, feminist newspapers, and anthropological studies) further supports the conclusion that girls were neglected due to their inferior status in society.

Studies have shown that children in rural areas face excess risks of dying, but the little research on spatial inequalities in adult mortality has reached mixed conclusions. We examine rural-urban differences in mortality in 53 low- and middle-income countries. We consider how the rural-urban mortality gap evolves from birth to age 60 by estimating mortality based on birth and sibling histories from 138 Demographic and Health Surveys run between 1992 and 2018. We observe excess rural mortality until age 15, finding the largest differences between urban and rural sectors among 1-59-month-olds. While we cannot claim higher mortality among urban adults than those in rural areas, we find a reduced gap between the sectors over the life course and a diminishing urban advantage in adult mortality with age. This shift over the life course reflects a divergence in the epidemiologic transition between the rural and urban sectors.

The migrant mortality advantage has been observed extensively, but its authenticity is debated. In particular, concerns persist that the advantage is an artefact of the data, generated by the problems of recording mobility among foreign-born populations. Here, we build on the intersection of two recent developments: the first showing substantial age variation in the advantage-a deep U-shaped advantage at peak migration ages-and the second showing high levels of population over-coverage, the principal source of data artefact, at the same ages. We use event history analysis of Sweden's population registers (2010-15) to test whether this over-coverage can explain age variation in the migrant mortality advantage. We document its U-shape in Sweden and, crucially, demonstrate that large mortality differentials persist after adjusting for estimated over-coverage. Our findings contribute to ongoing debate by demonstrating that the migrant mortality advantage is real and by ruling out one of its primary mechanisms.

Lowering desired family size is a necessary precondition for fertility declines in high-fertility settings. Although accumulated evidence links socio-economic developments to changing fertility desires, little research has disentangled the relative importance of key socio-economic determinants. Combining individual- and community-level data from Demographic and Health Surveys in 34 sub-Saharan African (SSA) countries, we compare the relative role of different socio-economic factors on fertility desires at the individual, community, and country levels. Results show that at the individual level, women's education has a stronger effect than household wealth and area of residence. The high levels of reported desired family size in rural parts of SSA are mainly a consequence of relatively lower levels of education. The relative impact of women's education is even stronger at the community level. Our findings are robust to alternative measures of fertility preferences and strengthen previous findings regarding the relationship between fertility and women's education.

Italy was hit harshly by the Covid-19 pandemic, registering more than 35,000 Covid-19 deaths between February and July 2020. During this first wave of the epidemic, the virus spread unequally across the country, with northern regions witnessing more cases and deaths. We investigate demographic and socio-economic factors contributing to the diverse regional impact of the virus during the first wave. Using generalized additive mixed models, we find that Covid-19 mortality at regional level is negatively associated with the degree of intergenerational co-residence, number of intensive care unit beds per capita, and delay in the outbreak of the epidemic. Conversely, we do not find strong associations for several variables highlighted in recent literature, such as population density or the share of the population who are older or have at least one chronic disease. Our results underscore the importance of context-specific analysis for the study of a pandemic.