Fertility and Life Satisfaction in Rural Ethiopia

Despite recent strong interest in the link between fertility and subjective well-being, the focus has centered on developed countries. For poorer countries, in contrast, the relationship remains rather elusive. Using a well-established panel survey—the Ethiopian Rural Household Survey (ERHS)—we investigate the empirical relationship between fertility and life satisfaction in rural Ethiopia, the largest landlocked country in Africa. Consistent with the fertility theories for developing countries and with the sociodemographic characteristics of rural Ethiopia, we hypothesize that this relationship varies by gender and across life stages, being more positive for men and for parents in old age. Indeed, our results suggest that older men benefit the most in terms of life satisfaction from having a large number of children, while the recent birth of a child is detrimental for the subjective well-being of women at reproductive ages. We address endogeneity issues by using lagged life satisfaction in ordinary least squares regressions, through fixed-effects estimation and the use of instrumental variables.     

The Network Survival Method for Estimating Adult Mortality: Evidence From a Survey Experiment in Rwanda

Adult death rates are a critical indicator of population health and well-being. Wealthy countries have high-quality vital registration systems, but poor countries lack this infrastructure and must rely on estimates that are often problematic. In this article, we introduce the network survival method, a new approach for estimating adult death rates. We derive the precise conditions under which it produces consistent and unbiased estimates. Further, we develop an analytical framework for sensitivity analysis. To assess the performance of the network survival method in a realistic setting, we conducted a nationally representative survey experiment in Rwanda (n = 4,669). Network survival estimates were similar to estimates from other methods, even though the network survival estimates were made with substantially smaller samples and are based entirely on data from Rwanda, with no need for model life tables or pooling of data from other countries. Our analytic results demonstrate that the network survival method has attractive properties, and our empirical results show that this method can be used in countries where reliable estimates of adult death rates are sorely needed.     

The Astonishing Population Averted by China’s Birth Restrictions: Estimates,Nightmares, and Reprogrammed Ambitions

China launched an unprecedented program to control its population in 1971. Experts have dismissed the official estimate of 400 million births averted by this program as greatly exaggerated yet neglect to provide their own estimates. Counterfactual projections based on fertility declines in other countries suggest that China’s program-averted population numbered 360–520 million as of 2015. The low end of this range is based on Vietnam—China’s best national comparator, with a two-child program of its own—and the high end is based on a 16-country comparator selected, ironically, by critics of the official estimate. The latter comparator further implies that China’s one-child program itself averted a population of 400 million by 2015, three-quarters of the total averted population. All such estimates are projected to double by 2060, due mostly to counterfactual population momentum. These and other findings presented herein affirm the astonishing impact of China’s draconian policy choices and challenge the current consensus that rapid socioeconomic progress drove China’s fertility well below two children per family. International comparisons of fertility and income suggest instead that China’s very low fertility arrived two or three decades too soon. If China had not harshly enforced a norm of 1.5-children during the last quarter century, most mothers would have had two children, one-half birth higher than observed.     

Just Like in Their Home Country? A Multinational Perspective on Living Arrangements of Older Immigrants in the United States

Older immigrants are more likely to share residence with their adult children and other family members than are U.S.-born older adults. Because socioeconomic factors only partially explain these differences and direct measures of cultural preferences are seldom available, the persistently high rates of intergenerational coresidence among the older foreign-born are often interpreted as driven by cultural preferences and/or a lack of assimilation. To challenge this interpretation, this study investigates the extent to which older immigrants’ living arrangements deviate from those of older adults in their home countries. The analysis combines data on immigrants from the 2008–2012 American Community Survey (ACS) with census data from three major immigrant-sending countries: Mexico, the Dominican Republic, and Vietnam. Despite persistent differences from U.S.-born whites, coresidence in later life is significantly less common than in the sending countries among the older foreign-born who migrated as young adults, and especially among those who migrated as children. The older foreign-born who migrated after age 50, however, are more likely to coreside and less likely to live independently than the older adults in their home countries. The similarity of these patterns across the three immigrant subgroups suggests that the unusually high coresidence among late-life immigrants is driven by U.S. family reunification policy and not simply by cultural influences.     

Children of Migrants: The Cumulative Impact of Parental Migration on Children’s Education and Health Outcomes in China

Since the end of 1990s, approximately 160 million Chinese rural workers migrated to cities for work. Because of restrictions on migrant access to local health and education systems, many rural children are left behind in home villages to grow up without parental care. This article examines how exposure to cumulative parental migration affects children’s health and education outcomes. Using the Rural-Urban Migration Survey in China (RUMiC) data, we measure the share of children’s lifetime during which parents were away from home. We instrument this measure of parental absence with weather changes in their home villages when parents were aged 16–25, when they were most likely to initiate migration. Results show a sizable adverse effect of exposure to parental migration on the health and education outcomes of children: in particular, boys. We also find that the use of the contemporaneous measure for parental migration in previous studies is likely to underestimate the effect of exposure to parental migration on children’s outcomes.     

Children and Careers: How Family Size Affects Parents’ Labor Market Outcomes in the Long Run

We estimate the effect of family size on various measures of labor market outcomes over the whole career until retirement, using instrumental variables estimation in data from Norwegian administrative registers. Parents’ number of children is instrumented with the sex mix of their first two children. We find that having additional children causes sizable reductions in labor supply for women, which fade as children mature and even turn positive for women without a college degree. Among women with a college degree, there is evidence of persistent and even increasing career penalties of family size. Having additional children reduces these women’s probability of being employed by higher-paying firms, their earnings rank within the employing firm, and their probability of being the top earner at the workplace. Some of the career effects persist long after labor supply is restored. We find no effect of family size on any of men’s labor market outcomes in either the short or long run.     

The Methuselah Effect: The Pernicious Impact of Unreported Deaths on Old-Age Mortality Estimates

We examine inferences about old-age mortality that arise when researchers use survey data matched to death records. We show that even small rates of failure to match respondents can lead to substantial bias in the measurement of mortality rates at older ages. This type of measurement error is consequential for three strands in the demographic literature: (1) the deceleration in mortality rates at old ages; (2) the black-white mortality crossover; and (3) the relatively low rate of old-age mortality among Hispanics, often called the “Hispanic paradox.” Using the National Longitudinal Survey of Older Men matched to death records in both the U.S. Vital Statistics system and the Social Security Death Index, we demonstrate that even small rates of missing mortality matching plausibly lead to an appearance of mortality deceleration when none exists and can generate a spurious black-white mortality crossover. We confirm these findings using data from the National Health Interview Survey matched to the U.S. Vital Statistics system, a data set known as the “gold standard” (Cowper et al. 2002) for estimating age-specific mortality. Moreover, with these data, we show that the Hispanic paradox is also plausibly explained by a similar undercount.     

The Life Course,Cohort Dynamics,and International Differences in Aging Trajectories

In recent years, population health research has focused on understanding the determinants of later-life health. Two strands of that work have focused on (1) international comparisons of later-life health and (2) assessing the early-life origins of disease and disability and the importance of life course processes. However, the less frequently examined intersection of these approaches remains an important frontier. The present study contributes to the integration of these approaches. We use the Health and Retirement Study family of data sets and a cohort dynamic approach to compare functional health trajectories across 12 high-income countries and to examine the role of life course processes and cohort dynamics in contributing to variation in those trajectories. We find substantial international variation in functional health trajectories and an important role of cohort dynamics in generating that variation, with younger cohorts often less healthy at comparable ages than the older cohorts they are replacing. We further find evidence of heterogeneous effects of life course processes on health trajectories. The results have important implications for future trends in morbidity and mortality as well as public policy.     

Footprints in the Sand: Personal,Psychological, and Relational Profiles of Religious,Spiritual, and Atheist LGB Individuals

The present study offers a comparison of the demographic features and lived experiences of lesbian, gay, and bisexual (LGB) individuals with religious, spiritual, or atheist (R/S/A) belief systems. In this sample of 212 participants, the relationship of participants’ R/S/A beliefs to personal variables (e.g., age, gender, race), mental health variables (e.g., life satisfaction, psychological distress, internalized heterosexism, self-esteem), and relational variables (e.g., outness, connection to LGBTQ communities) were assessed. Correlational analyses indicated that level of R/S/A belief was unrelated to self-esteem, life satisfaction, or psychological distress; however, greater religious belief was correlated positively and significantly with internalized heterosexism and outness as LGB. To test the interactions of R/S/A beliefs and categorical variables of interest (e.g., race), log-linear analyses with follow-up chi-square tests were conducted. Findings suggested more similarities than differences for LGB people across R/S/A systems of belief. Limitations and implications for future research are discussed.     

Positive Identity Experiences of Young Bisexual and Other Nonmonosexual People: A Qualitative Inquiry

The majority of LGBTQ psychological research focuses on dysfunction. The exclusion of strengths-based perspectives in LGBTQ psychology limits the understanding of LGBTQ mental health. In this article we report experiences that young bisexual and other nonmonosexual people perceive as affirming of their sexual identity. A 28-day, daily diary study was used to investigate whether bisexual-identified participants encountered positive experiences related to their sexual identity, and which type of experiences they perceived to be positive. Using a constructivist grounded theory approach, participants’ experiences were organized according to a social ecological model. Experiences were reported at the intrapersonal, interpersonal, and institutional levels, but most positive sexual identity experiences occurred at the interpersonal level. Implications for positive health outcome research and the integration of positive psychology with LGBTQ psychology are discussed, as well as study limitations.