In this article, we present a new measure for use in cross-cultural studies of family-driven age-and gender-related inequalities. This composite measure, which we call the Patriarchy Index, combines a range of variables related to familial behaviour that reflect varying degrees of sex-and age-related social inequality across different family settings. We demonstrate the comparative advantages of the index by showing how 266 historical populations living in regions stretching from the Atlantic coast of Europe to Moscow scored on the patriarchy scale. We then compare the index with contemporary measures of gender discrimination, and find a strong correlation between historical and current inequality patterns. Finally, we explore how variation in patriarchy levels across Europe is related to the socio-economic and institutional characteristics of the regional populations, and to variation across these regions in their degree of demographic centrality and in their environmental conditions. Overall, the results of our study confirm previous findings that family organisation is a crucial generator of social inequality, and point to the importance of considering the historical context when analysing the current global contours of inequality.

The Black Death (1347–1352 ce) is the most renowned pandemic in human history, believed by many to have killed half of Europe’s population. However, despite advances in ancient DNA research that conclusively identified the pandemic’s causative agent (bacterium Yersinia pestis), our knowledge of the Black Death remains limited, based primarily on qualitative remarks in medieval written sources available for some areas of Western Europe. Here, we remedy this situation by applying a pioneering new approach, ‘big data palaeoecology’, which, starting from palynological data, evaluates the scale of the Black Death’s mortality on a regional scale across Europe. We collected pollen data on landscape change from 261 radiocarbon-dated coring sites (lakes and wetlands) located across 19 modern-day European countries. We used two independent methods of analysis to evaluate whether the changes we see in the landscape at the time of the Black Death agree with the hypothesis that a large portion of the population, upwards of half, died within a few years in the 21 historical regions we studied. While we can confirm that the Black Death had a devastating impact in some regions, we found that it had negligible or no impact in others. These inter-regional differences in the Black Death’s mortality across Europe demonstrate the significance of cultural, ecological, economic, societal and climatic factors that mediated the dissemination and impact of the disease. The complex interplay of these factors, along with the historical ecology of plague, should be a focus of future research on historical pandemics.

Working papers of the Max Planck Institute for Demographic Research receive only limited review. Views or opinions expressed in working papers are attributable to the authors and do not necessarily reflect those of the Institute.

Much of the previous scholarship on the historical living arrangements of the aged has taken place without the benefit of large-scale harmonised census microdata and did not embrace even rudimentary forms of spatial modelling. Drawing on the pooled cross-sectional census microdata from the North Atlantic Population and Mosaic projects, we derive measures of intergenerational co-residence among the elderly for 277 regional populations from Catalonia to the Urals during the demographic ancien régime and thereafter. To examine the historical geography of living arrangements among the elderly, the spatial patterns in our data are assessed using formal tools of Exploratory Spatial Data Analysis. To investigate the extent to which the observed regional patterns are attributable to underlying demographic, socioeconomic, or environmental variability, we specified a series of the OLS regression models and applied the Local Indicators of Spatial Association to the models' residuals in order to identify the spatial clusters that cannot be explained by the chosen set of predictors. Our findings reveal considerable variability in the living arrangements of the elderly in historic Europe. This variability does not align very neatly with the geographic patterns predicted by earlier historical demographic literature and partly persists even after controlling for contextual factors. Our bottom-line results suggest that when seeking to untangle the dynamics of European family systems, greater spatial awareness is indispensable.

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