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This paper studies risk attitudes using a large representative survey and a complementary experiment conducted with a representative subject pool in subjects' homes. Using a question asking people about their willingness to take risks \"in general\", we find that gender, age, height, and parental background have an economically significant impact on willingness to take risks. The experiment confirms the behavioral validity of this measure, using paid lottery choices. Turning to other questions about risk attitudes in specific contexts, we find similar results on the determinants of risk attitudes, and also shed light on the deeper question of stability of risk attitudes across contexts. We conduct a horse race of the ability of different measures to explain risky behaviors such as holdings stocks, occupational choice, and smoking. The question about risk taking in general generates the best all-round predictor of risky behavior.

The Black Death was the largest demographic shock in European history. We review the evidence for the origins, spread, and mortality of the disease. We document that it was a plausibly exogenous shock to the European economy and trace out its aggregate and local impacts in both the short run and the long run. The initial effect of the plague was highly disruptive. Wages and per capita income rose. But, in the long run, this rise was only sustained in some parts of Europe. The other indirect long-run effects of the Black Death are associated with the growth of Europe relative to the rest of the world, especially Asia and the Middle East (the Great Divergence), a shift in the economic geography of Europe toward the northwest (the Little Divergence), the demise of serfdom in western Europe, a decline in the authority of religious institutions, and the emergence of stronger states. Finally, avenues for future research are laid out.

The digital traces that we leave online are increasingly fruitful sources of data for social scientists, including those interested in demographic research. The collection and use of digital data also presents numerous statistical, computational, and ethical challenges, motivating the development of new research approaches to address these burgeoning issues. In this article, we argue that researchers with formal training in demography—those who have a history of developing innovative approaches to using challenging data—are well positioned to contribute to this area of work. We discuss the benefits and challenges of using digital trace data for social and demographic research, and we review examples of current demographic literature that creatively use digital trace data to study processes related to fertility, mortality, and migration. Focusing on Facebook data for advertisers—a novel \"digital census\" that has largely been untapped by demographers—we provide illustrative and empirical examples of how demographic researchers can manage issues such as bias and representation when using digital trace data. We conclude by offering our perspective on the road ahead regarding demography and its role in the data revolution.

Much of what we know about the intellectual landscape of anglophone demography comes from two sources: subjective narratives authored by leaders in the field, whose reviews and observations are derived from their research experience and field-specific knowledge; and professional histories covering the field's foundational controversies, which tend to focus on individuals, institutions, and influence. Here we use bibliographic information from all articles published in the three leading journals of anglophone demography— , , and —to survey the changing contours of anglophone demography's key research areas over the past 70 years. We characterize the field of demography by applying a two-pronged, data-grounded approach from the sociology of science. The first uses natural language processing that lets the substance of the field emerge from the contents of publication records and applies social network analyses to identify groups of papers that talk about the same thing. The second uses bibliometric tools to capture the “conversations” of demography with other disciplines. Our goals are to (1) identify the primary topics of demography since the discipline first gained prominence as an organized field; (2) assess changes in the field's intellectual cohesion and the topical areas that have grown or shrunk; and (3) examine how demographers place their work in relationship to other disciplines, the visibility and influence of demographic research in the broader scientific literature, and the cross-disciplinary translational reach of demographic research. Results provide a dynamic view of the field's scientific development in the second half of the twentieth century and the first two decades of the twenty-first century.

Attitudes towards risk and uncertainty have been indicated to be highly context-dependent, and to be sensitive to the measurement technique employed. We present data collected in controlled experiments with 2,939 subjects in 30 countries measuring risk and uncertaintly attitudes through incentivized measures as well as survey questions. Our data show clearly that measures correlate not only within decision contexts or measurement methods, but also across contexts and methods. This points to the existence of one underlying \"risk preference\", which influences attitudes independently of the measurement method or choice domain. We furthermore find that answers to a general and a financial survey question correlate with incentivized lottery choices in most countries. Incentivized and survey measures also correlate significantly between countries. This opens the possibility to conduct cultural comparisons on risk attitudes using survey instruments.

We revisit the relationship between ancestral distance and barriers to the diffusion of development by replicating previous results with a new genomic dataset on human microsatellite variation. We find a statistically and economically significant effect of ancestral distance from the technological frontier on income per capita. The historical pattern of the effect is hump shaped, peaking between 1870 and 1913, and declining steeply afterwards. This suggests that ancestral distance acts as a temporary barrier to the diffusion of development. We also find that ancestral distance from the frontier is a barrier to the spread of specific technologies and institutions in modern times.

In this essay, we ask whether the distributions of life expectancy and mortality have become generally more unequal, as many seem to believe, and we report some good news. Focusing on groups of counties ranked by their poverty rates, we show that gains in life expectancy at birth have actually been relatively equally distributed between rich and poor areas. Analysts who have concluded that inequality in life expectancy is increasing have generally focused on life expectancy at age 40 to 50. This observation suggests that it is important to examine trends in mortality for younger and older ages separately. Turning to an analysis of age-specific mortality rates, we show that among adults age 50 and over, mortality has declined more quickly in richer areas than in poorer ones, resulting in increased inequality in mortality. This finding is consistent with previous research on the subject. However, among children, mortality has been falling more quickly in poorer areas with the result that inequality in mortality has fallen substantially over time. We also show that there have been stunning declines in mortality rates for African Americans between 1990 and 2010, especially for black men. Finally we offer some hypotheses about causes for the results we see, including a discussion of differential smoking patterns by age and socioeconomic status.

This article discusses methodological challenges of using big data that rely on specific sites and services as their sampling frames, focusing on social network sites in particular. It draws on survey data to show that people do not select into the use of such sites randomly. Instead, use is biased in certain ways yielding samples that limit the generalizability of findings. Results show that age, gender, race/ethnicity, socioeconomic status, online experiences, and Internet skills all influence the social network sites people use and thus where traces of their behavior show up. This has implications for the types of conclusions one can draw from data derived from users of specific sites. The article ends by noting how big data studies can address the shortcomings that result from biased sampling frames.

Integrated Soil Fertility Management (ISFM) refers to a holistic approach to managing soil fertility that combines a variety of techniques and practices to improve soil health and enhance agricultural productivity, particularly in smallholder farming systems. Despite the associated higher labor and other input demands associated with ISFM adoption, there is limited empirical evidence regarding the positive outcomes of these investments at the household level. Using data from 380 tomato farmers in three regions of Ghana, we explore the relationship between ISFM adoption and household welfare. The methodology employed relies on inverse probability weighting regression adjustment (IPWRA). The findings reveal that ISFM adoption positively impacts household welfare by increasing net income by GH₵436.88 ( $60.43)/ha, improving household assets by GH₵518.17 ($ 71.67)/ha, enhancing food security by 1.23 points, and reducing household expenditure by GH₵57.39 ($7.94)/ha. The results highlight ISFM’s potential to enhance smallholder welfare through increased income, improved household assets, and better food security, contributing to poverty reduction and sustainable agricultural development. Policies should focus on improving access to fertilizers, seeds, and pesticides, coupled with extension services and farmer education programs to promote ISFM adoption. Tailored interventions targeting older and more experienced farmers, as well as household heads, are essential to overcome barriers to adoption and maximize the economic and welfare benefits of ISFM practices.