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Understanding public perceptions of government responses to COVID-19 may foster improved public cooperation. Trust in government and population risk of exposure may influence public perception of the response. Other population-level characteristics, such as country socio-economic development, COVID-19 morbidity and mortality, and degree of democratic government, may influence perception. We developed a novel ten-item instrument that asks respondents to rate key aspects of their government's response to the pandemic (COVID-SCORE). We examined whether the results varied by gender, age group, education level, and monthly income. We also examined the internal and external validity of the index using appropriate predefined variables. To test for dimensionality of the results, we used a principal component analysis (PCA) for the ten survey items. We found that Cronbach's alpha was 0.92 and that the first component of the PCA explained 60% of variance with the remaining factors having eigenvalues below 1, strongly indicating that the tool is both reliable and unidimensional. Based on responses from 13,426 people randomly selected from the general population in 19 countries, the mean national scores ranged from 35.76 (Ecuador) to 80.48 (China) out of a maximum of 100 points. Heterogeneity in responses was observed across age, gender, education and income with the greatest amount of heterogeneity observed between countries. National scores correlated with respondents' reported levels of trust in government and with country-level COVID-19 mortality rates. The COVID-SCORE survey instrument demonstrated satisfactory validity. It may help governments more effectively engage constituents in current and future efforts to control COVID-19. Additional country-specific assessment should be undertaken to measure trends over time and the public perceptions of key aspects of government responses in other countries.

Two dominant theories within family research foresee a long-term decline in marriage, fertility, and partner stability. They also assume that this \"less-family\" scenario will be spearheaded by higher-educated strata. Trends in the latter half of the twentieth century seemed to provide ample support for both predictions. However, recent signs of change in family behavior raise doubts about their continued validity. In a number of countries we see a halt to, and even reversal of, fertility decline and of couple instability. In parallel, we observe a reversal of the social gradient on both dimensions. Applying a multiple equilibrium framework, we propose a theoretical framework that helps explain both the phase of marital and fertility decline and the subsequent recovery. We focus especially on the endogenous dynamics of the process, which, we argue, depend on the conditions that favor rapid diffusion. Our core argument is that the turnaround is driven by the diffusion of gender-egalitarian norms.

Generalized trust refers to trust in other members of society; it may be distinguished from particularized trust, which corresponds to trust in the family and close friends. An extensive empirical literature has established that generalized trust is an important aspect of civic culture. It has been linked to a variety of positive outcomes at the individual level, such as entrepreneurship, volunteering, self-rated health, and happiness. However, two recent studies have found that it is highly correlated with intelligence, which raises the possibility that the other relationships in which it has been implicated may be spurious. Here we replicate the association between intelligence and generalized trust in a large, nationally representative sample of U.S. adults. We also show that, after adjusting for intelligence, generalized trust continues to be strongly associated with both self-rated health and happiness. In the context of substantial variation across countries, these results bolster the view that generalized trust is a valuable social resource, not only for the individual but for the wider society as well.

We compare two techniques that are widely used in the analysis of life course trajectories: latent class analysis and sequence analysis. In particular, we focus on the use of these techniques as devices to obtain classes of individual life course trajectories. We first compare the consistency of the classification that is obtained via the two techniques by using a data set on the life course trajectories of young adults. Then, we adopt a simulation approach to measure the ability of these two methods to classify groups of life course trajectories correctly when specific forms of 'random' variability are introduced within prespecified classes in an artificial data set. To do so, we introduce simulation operators that have a life course and/or observational meaning. Our results contribute on the one hand to outline the usefulness and robustness of findings based on the classification of life course trajectories through latent class analysis and sequence analysis and on the other hand to illuminate the potential pitfalls in applications of these techniques.

Scientific ideas on the human population tend to be rooted in a “slow demography” paradigm, which emphasizes an inertial, predictable, self-contained view of population dynamics, mostly dependent on fertility and mortality. Yet, demography can also move fast. At the country level, it is crucial to empirically assess how fast demography moves by taking migratory movements into account, in addition to fertility and mortality. We discuss these ideas and present new estimates of the speed of population change, that is, country-level population turnover rates, as well as the share of turnover due to migration, for all countries in the world with available data between 1990 and 2020. Population turnover is inversely related to population size and development, and migratory movements tend to become important factors in shaping demography for both small and highly developed countries. Longitudinally, we analyze annual turnover data for Italy and Germany, documenting the changing speed of population change over time and its determinants. Accepting the “fast and slow” demography perspective has several implications for science and policy, which we discuss.

Background During the transition to adulthood many young adults become obese for the first time in their lives, yet relatively little research has examined why people in this life phase become obese. This study examines what career and family life-course pathways during the transition to adulthood are related to developing obesity in young adulthood. Methods We use data from the NLSY97, a U.S. nationally representative panel survey conducted by the Bureau of Labor Statistics between 1997 to 2013 ( N  = 4688), and apply multichannel sequence analysis in order to identify clusters of typical career-family pathways during the transition to adulthood (age 17 to 27), and subsequently investigate whether these pathways are associated with becoming obese at the end of young adulthood (age 28), using logistic regression. We control for obesity at age 17 and family background factors (race, parental education, parental income, and family structure). To take into account the fact that the transition to adulthood has a different meaning for men and for women, we also interact career-family clusters with gender. Results For women, pathways characterized by college education, early home leaving, and postponement of family formation decrease the probability of becoming obese. For men, pathways characterized by early marriage increase the probability of becoming obese. Conclusions The results highlight the importance of gender differences in how career and family pathways are related to becoming obese in young adulthood.

For billions of people across the globe, mobile phones enable relatively cheap and effective communication, as well as access to information and vital services on health, education, society, and the economy. Drawing on context-specific evidence on the effects of the digital revolution, this study provides empirical support for the idea that mobile phones are a vehicle for sustainable development at the global scale. It does so by assembling a wealth of publicly available macro- and individual-level data, exploring a wide range of demographic and social development outcomes, and leveraging a combination of methodological approaches. Macro-level analyses covering 200+ countries reveal that mobile-phone access is associated with lower gender inequality, higher contraceptive uptake, and lower maternal and child mortality. Individual-level analyses of survey data from sub-Saharan Africa, linked with detailed geospatial information, further show that women who own a mobile phone are better informed about sexual and reproductive health services and empowered to make independent decisions. Payoffs are larger among the least-developed countries and among the most disadvantaged micro-level clusters. Overall, our findings suggest that boosting mobile-phone access and coverage and closing digital divides, particularly among women, can be powerful tools to attain empowerment-related sustainable development goals, in an ultimate effort to enhance population health and well-being and reduce poverty.

This paper provides a review of fertility research in advanced societies, societies in which birth control is the default option. The central aim is to provide a comprehensive review that summarizes how contemporary research has explained ongoing and expected fertility changes across time and space (i.e., cross- and within-country heterogeneity). A secondary aim is to provide an analytical synthesis of the core determinants of fertility, grouping them within the analytical level in which they operate. Determinants are positioned at the individual and/or couple level (micro-level), social relationships and social networks (meso-level); and, by cultural and institutional settings (macro-level). The focus is both on the quantum and on the tempo of fertility, with a particular focus on the postponement of childbearing. The review incorporates both theoretical and empirical contributions, with attention placed on empirically tested research and whether results support or falsify existing theoretical expectations. Attention is also devoted to causality and endogeneity issues. The paper concludes with an outline of the current challenges and opportunities for future research. //ABSTRACT IN FRENCH: Cet article présente un aperçu des recherches dans le domaine de la fécondité réalisées dans les sociétés dites avancées, c'est-à-dire les sociétés dans lesquelles le contrôle des naissances est l'option par défaut. L'objectif principal est de fournir une vue d'ensemble complète résumant comment la recherche contemporaine explique les changements de fécondité actuelle et prévue dans le temps et dans l'espace (c'est-à-dire l'hétérogénéité à l'intérieur d'un pays ou entre pays). Un second objectif vise à fournir une synthèse des principaux déterminants de la fécondité en les regroupant par niveau d'analyse dans lequel ils se situent. Les déterminants sont ainsi situés au niveau individuel ou au niveau du couple (niveau micro), au niveau des relations sociales et des réseaux sociaux (niveaux méso) et au niveau des cadres institutionnels et culturels (niveau macro). L'accent est mis tant sur l'intensité que le calendrier de la fécondité avec un intérêt particulier sur le report de la procréation. Cette synthèse de la littérature concerne les recherches tant théoriques qu'empiriques, une attention particulière étant portée à celles qui sont testées empiriquement et dont les résultats confirment ou infirment les théories explicatives existantes. De même nous nous sommes particulièrement intéressés aux problèmes de causalité et d'endogénéité. En conclusion, un tableau des défis actuels et des perspectives futures en matière de recherche est esquissé. Reprinted by permission of Springer

This article studies the association between social norms and the timing of leaving home. Although largely overlooked by most recent studies on leaving home, life-course theory suggests that age norms and age grading influence life-course decisions in general and leaving home in particular We use Fishbein and Ajzen's model of \"reasoned behavior\" to integrate this strand of research with the more individualistic view that dominates current thinking. Using data from a Dutch panel survey, we use a Cox regression model with a control for sample selection to estimate the association between perceived age norms and the timing of leaving home. We show that perceived opinions of parents are associated with the actual timing of leaving the parental home but that societal norms and friends' norms concerning the timing of leaving home are not. In addition, the timing of leaving home is also associated with the perceived costs and benefits of leaving home and with the perceived housing market situation.

The spread of high-speed (broadband) Internet epitomizes the digital revolution. Using German panel data, we test whether the availability of broadband influences fertility choices in a low-fertility setting well known for the difficulty in combining work and family life. We exploit a strategy devised by Falck and colleagues to obtain causal estimates of the impact of broadband on fertility. We find positive effects of broadband availability on the fertility of highly educated women aged 25-45. We further confirm this result using county-level data on total fertility. We show that broadband access significantly increases the share of women reporting home- or part-time working. Furthermore, we find positive effects on time spent with children and overall life satisfaction. Our findings are consistent with the hypothesis that access to broadband allows highly educated women, but not the less educated, to reconcile career and motherhood, which may promote a 'digital divide' in fertility.