Population Studies-A Journal of Demography最新文献

Precise estimates of the impact of famine on infant and child mortality are rare due to lack of representative data. Using vital statistics reports on the Netherlands for 1935-47, we examine the impact of the Dutch famine (November 1944 to May 1945) on age-specific mortality risk and cause of death in four age groups (stillbirths, <1 year, 1-4, 5-14) in the three largest famine-affected cities and the remainder of the country. Mortality during the famine is compared with the pre-war period January 1935 to April 1940, the war period May 1940 to October 1944, and the post-war period June 1945 to December 1947. The famine's impact was most visible in infants because of the combined effects of a high absolute death rate and a threefold increase in proportional mortality, mostly from gastrointestinal conditions. These factors make infant mortality the most sensitive indicator of famine severity in this setting and a candidate marker for comparative use in future studies.

Stressful experiences are common among migrants and may have health implications. With the only US nationally representative data set on migration, the New Immigrant Survey, we used survey-adjusted descriptive and multivariate regression methods to examine whether victimization prior to resettlement was associated with obesity, cardiovascular disease, diabetes, arthritis, cancer, and chronic lung disease. Among foreign-born people who obtained lawful permanent residence in the US in 2003-04, 6.7 per cent reported victimization before arriving in the US. Those who had experienced victimization more often suffered from chronic conditions than people without such experiences: they were 32 per cent more likely to suffer from at least one chronic condition (p < 0.05), especially cancer (4.36, p < 0.05), arthritis (1.77, p < 0.01), and cardiovascular disease (odds ratio 1.32, p < 0.05). These relationships were in part mediated by differences in healthcare access after arriving in the US between those who had experienced victimization and those who had not. Victimization may have consequences for integration and later-life chronic disease.

Discrete-time multistate life tables are attractive because they are easier to understand and apply in comparison with their continuous-time counterparts. While such models are based on a discrete time grid, it is often useful to calculate derived magnitudes (e.g. state occupation times), under assumptions which posit that transitions take place at other times, such as mid-period. Unfortunately, currently available models allow very few choices about transition timing. We propose the use of Markov chains with rewards as a general way of incorporating information on the timing of transitions into the model. We illustrate the usefulness of rewards-based multistate life tables by estimating working life expectancies using different retirement transition timings. We also demonstrate that for the single-state case, the rewards approach matches traditional life-table methods exactly. Finally, we provide code to replicate all results from the paper plus R and Stata packages for general use of the method proposed.

Grandparental support may protect mothers from depression, particularly mothers who separate and enter single parenthood. Using longitudinal Finnish register data on 116,917 separating and 371,703 non-separating mothers with young children, we examined differences in mothers' antidepressant purchases by grandparental characteristics related to provision of support. Grandparents' younger age (<70 years), employment, and lack of severe health problems predicted a lower probability of maternal depression. Depression was also less common if grandparents lived close to the mother and if the maternal grandparents' union was intact. Differences in maternal depression by grandparental characteristics were larger among separating than among non-separating mothers, particularly during the years before separation. Overall, maternal grandmothers' characteristics appeared to matter most, while the role of paternal grandparents was smaller. The findings suggest that grandparental characteristics associated with increased potential for providing support and decreased need of receiving support predict a lower likelihood of maternal depression, particularly among separating mothers.

We examine the timely yet greatly under-researched interplay between home-based work (HBW) and women's birth transitions. Past research has shown that HBW may facilitate and/or jeopardize work-family balance, depending on the worker's family and work circumstances. Following that research, we develop here a theoretical framework on how HBW can facilitate or hinder fertility. Using the UK Household Longitudinal Study 2009-19 and random-effects cloglog regression, we study the link between HBW and first- and second-birth risks. We find that HBW is negatively associated with the transition to motherhood and unrelated to the progression to a second child. We also show that HBW helps to enable women to have children if they would otherwise face a long commute. All in all, our findings do not support the idea that the spread of HBW will lead to an immediate increase in fertility.

Demographers have developed a number of methods for expanding abridged mortality data into a complete schedule; however, these can be usefully applied only under certain conditions, and the presence or absence of one or more additional sources of incompleteness can degrade their relative accuracy, lead to implausible profiles, or even cause the methods to fail. We develop a new method for expanding an abridged schedule based on calibrated splines; this method is accurate and robust in the presence of errors in mortality rates, missing values, and truncation. We compare its performance with the performance of existing methods for expanding abridged data and find that it is superior to current methods at producing accurate and plausible complete schedules over a broad range of data-quality conditions. The method when applied is a valuable addition to existing tools for estimating mortality, especially for small nations, countries with incomplete vital statistics, and subnational populations.

The influence of kin on various outcomes is heavily debated. However, kinship size itself conditions the probability of potential effects. Socio-economic gradients in the prevalence, variance, and types of kin are, therefore, a vital aspect of the functions of kin. Unfortunately, these parameters are largely unknown. We used Swedish register data to enumerate consanguine and in-law kin across the life course of the 1975 birth cohort. We calculated differences in kinship size between this cohort's income quartiles and educational groups. We decomposed how specific kin relations, generations, and demographic behaviours contributed to these differences. Among low socio-economic status (SES) groups, higher fertility in earlier generations resulted in more kin compared with high-SES groups. Low-SES groups had more horizontal consanguine kin, while high-SES groups had more in-laws. Lower fertility and higher union instability among low-SES men substantially narrowed SES differences in kinship size. Kinship size varied substantially within SES groups.

This study investigates birthdate patterns in a context of well-established civil registers and intensive migration inflows. Leveraging extensive Spanish microdata on residential variation flows and the Spanish Municipality Register, this research reveals new facets of the distributions of immigrants' birthdates across days of the month that differ significantly from those of non-migrants. The registered days of the month for birthdates are categorized into six distinct types based on the assumption that the anomalous distributions of birthdates will display rounding or simplifying patterns (digit preferences). The investigation reveals important anomalies in the distribution of birthdates that are much more pronounced for immigrants. A notable concentration of recorded birthdates is confirmed within all the designated types, contrasted by an under-recording of births on the remaining days of the month. These anomalies depend primarily on migrants' country of origin and age group. The paper ends by proposing some recommendations for mitigating the anomalies.

In this paper, we combine administrative data for Spain from 2010 to 2018 with meteorological data, to identify the effect of daily mean temperature on fertility. We demonstrate for Spain that hot days (≥25°C) decrease the total fertility rate nine months after exposure. Moreover, we do not observe any substantial heterogeneities in the effect of heat by mother's age, mother's educational attainment, sex of the newborn, climatic area, or air conditioning penetration. Our results suggest that climate change may be altering the seasonal distribution of births and affect fertility rates in a context with low fertility and rapid population ageing.

Technological change and globalization have caused unprecedented transformations of labour markets, resulting in a growing division between workers who perform cognitive vs non-cognitive tasks. To date, only few studies have addressed the fertility effects of these long-term structural changes. This study fills that gap. We measure the cognitive task content of occupations using data from the Employment Survey of the German Federal Institute for Vocational Education and Training, which we link to individual histories from the German Socio-Economic Panel 1984-2018. We find that women and men with non-cognitive jobs are increasingly less likely to enter parenthood; this is reflected in lower first-birth intensities but also in higher probabilities of childlessness compared with workers in highly cognitive jobs. These findings imply that structural shifts in the labour market are exacerbating disparities between low-skilled and highly skilled individuals, not only within the labour market but also in the realm of family formation.