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In high‐income countries, migration redistributed populations from congested city centres into the sparsely populated outskirts, raising challenges to environmental and population health and the conservation of biodiversity. We evaluate whether this periurbanisation process came to a halt in Switzerland by expecting a decline in internal migration and a renewed residential attractiveness of urban agglomeration centres (i.e., re‐urbanisation)—two recent trend changes observed in Europe. Relying on data from censuses, registers and surveys, we describe trends in the intensity, geography and sociodemographic differentials of migration across consistently defined urban agglomeration density zones between 1966 and 2018. Although the overall intensity of migration declined, the rate increased among the working age population in part because of the societal diffusion of tertiary education. The dominant urban‐bound migration flows are increasingly confined within agglomerations over time. After the diffusion of periurbanisation down the city hierarchy between 1966 and 1990, we observe the emergence of re‐urbanisation in some agglomerations and sociodemographic groups around 2000. However, this phenomenon has been temporarily inflated by period‐specific transformations in Swiss society. More recently, the process of periurbanisation intensified again and expanded more and more beyond official agglomeration borders. [ABSTRACT FROM AUTHOR]

Fertility decline in central and eastern Europe (CEE) since the fall of the communist regimes has been driven by both stopping and postponement of childbearing: two processes that have been related to crisis and economic development, respectively. In the Western Balkans these economic and political contexts followed each other in the form of a biphasic transition. I examine whether this sequence triggered fertility responses like those observed elsewhere. Relying on three independent data sources, I crossvalidate the levels of, and describe the trends in, union formation and fertility (by birth order) between 1980 and 2010. Results do not reveal widespread declines in fertility to lowest-low levels during the most acute period of crisis. The subsequent postponement of marriage and first birth was also limited, and the two-child family remains the norm. This relative resilience of childbearing patterns compared with other CEE countries is discussed with reference to the institutional context [ABSTRACT FROM AUTHOR]

Evaluating the impact of health systems on premature mortality across different countries is a very challenging task, as it is hardly possible to disentangle it from the influence of contextual factors such as cultural differences. In this respect, the German-speaking area in Central Europe (Austria, Germany, South Tyrol and large parts of Switzerland) represents a unique 'natural experiment' setting: While being exposed to different health policies, they share a similar culture and language. To assess the impact of different health systems on mortality differentials across the German-speaking area, we relied on the concept of avoidable mortality. Based on official mortality statistics, we aggregated causes of death below age 75 that are either 1) amenable to health care or 2) avoidable through primary prevention. We calculated standardised death rates and constructed cause-deleted life tables for 9 Austrian, 96 German, 1 Italian and 5 Swiss regions from 1992 to 2019, harmonised according to the current territorial borders. There are strong north-south and east-west gradients in amenable and preventable mortality across the studied regions to the advantage of the southwest. However, the Swiss regions still show significantly lower mortality levels than the neighbouring regions in southern Germany. Eliminating avoidable deaths from the life tables reduces spatial inequality in life expectancy in 2017/2019 by 30% for men and 28% for women. The efficiency of health policies in assuring timely and adequate health care and in preventing risk-relevant behaviour has room for improvement in all German regions, especially in the north, west and east, and in eastern Austria as well. • Strong north-south and east-west gradients across the studied area. • Swiss regions and South Tyrol show the lowest outcomes of avoidable mortality. • Even best-performing regions of Germany and Austria are above Swiss level. • Spatial pattern related to varying effectiveness of health care and health policies. • Avoidable deaths explain approx. 30% of regional variation in life expectancy. [ABSTRACT FROM AUTHOR]

Background: Reliable estimates of mortality according to socioeconomic status play a crucial role in informing the policy debate about social inequality, social cohesion, and exclusion as well as about the reform of pension systems. Linked mortality data have become a gold standard for monitoring socioeconomic differentials in survival. Several approaches have been proposed to assess the quality of the linkage, in order to avoid the misclassification of deaths according to socioeconomic status. However, the plausibility of mortality estimates has never been scrutinized from a demographic perspective, and the potential problems with the quality of the data on the at-risk populations have been overlooked. Methods: Using indirect demographic estimation (i.e., the synthetic extinct generation method), we analyze the plausibility of old-age mortality estimates according to educational attainment in four European data contexts with different quality issues: deterministic and probabilistic linkage of deaths, as well as differences in the methodology of the collection of educational data. We evaluate whether the at-risk population according to educational attainment is misclassified and/or misestimated, correct these biases, and estimate the education-specific linkage rates of deaths. Results: The results confirm a good linkage of death records within different educational strata, even when probabilistic matching is used. The main biases in mortality estimates concern the classification and estimation of the person-years of exposure according to educational attainment. Changes in the census questions about educational attainment led to inconsistent information over time, which misclassified the at-risk population. Sample censuses also misestimated the at-risk populations according to educational attainment. Conclusion: The synthetic extinct generation method can be recommended for quality assessments of linked data because it is capable not only of quantifying linkage precision, but also of tracking problems in the population data. Rather than focusing only on the quality of the linkage, more attention should be directed towards the quality of the self-reported socioeconomic status at censuses, as well as towards the accurate estimation of the at-risk populations. [ABSTRACT FROM AUTHOR]