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While regional mortality inequalities in Germany tend to be relatively stable in the short run, over the course of the past century marked changes have occurred in the country's regional mortality patterns. These changes include not only the re-emergence of stark differences between eastern and western Germany after 1970, which have almost disappeared again in the decades after the reunification of Germany in 1990; but also substantial changes in the disparities between northern and southern Germany. At the beginning of the twentieth century, the northern regions in Germany had the highest life expectancy levels, while the southern regions had the lowest. Today, this mortality pattern is reversed. In this paper, we study these long-term trends in spatial mortality disparities in Germany since 1910, and link them with theoretical considerations and existing research on the possible determinants of these patterns. Our findings support the view that the factors which contributed to shape spatial mortality variation have changed substantially over time, and suggest that the link between regional socioeconomic conditions and recorded mortality levels strengthened over the last 100 years.Regionale Unterschiede in der Sterblichkeit in Deutschland erweisen sich kurzfristig betrachtet als relativ stabil. Im Laufe des letzten Jahrhunderts wurden allerdings deutliche Veränderungen in den regionalen Sterblichkeitsmustern verzeichnet. Hierzu zählt nicht nur das Wiederauftreten ausgeprägter Ost-West-Unterschiede ab 1970, die in den Jahrzehnten nach der deutschen Wiedervereinigung 1990 fast wieder verschwunden sind. Vielmehr haben sich auch substanzielle Verschiebungen zwischen Nord- und Süddeutschland ergeben. Zu Beginn des 20. Jahrhunderts registrierten die norddeutschen Regionen die höchsten Lebenserwartungsniveaus, während die süddeutschen Landesteile die niedrigsten verzeichneten. Über die letzten 100 Jahre hat sich dieses räumliche Muster weitgehend umgekehrt. In diesem Beitrag analysieren wir die langfristigen Entwicklungen der räumlichen Mortalitätsunterschiede in Deutschland seit 1910. Die beobachteten Veränderungen setzen wir in Bezug zu theoretischen Überlegungen und existierenden Forschungsergebnissen zu möglichen Ursachen für regionale Mortalitätstrends. Unsere Ergebnisse zeigen auf, dass sich die Zusammensetzung der maßgeblich zur Entwicklung der regionalen Sterblichkeitsmuster beitragenden Faktoren über die Zeit erheblich verändert hat. Außerdem scheint sich der Zusammenhang zwischen regionalen sozioökonomischen Bedingungen und den registrierten Sterblichkeitsniveaus in den letzten 100 Jahren verstärkt zu haben.

Childbearing within cohabitation has gained considerable ground in recent decades, but existing explanations for this development are not coherent. Proponents of the Second Demographic Transition framework interpret it rather as a pattern of progress driven by processes such as emancipation from traditional social norms. Others see rises in childbearing in cohabitation being related to a “pattern of disadvantage” as they are often concentrated among individuals faced with blocked opportunities. In this paper we argue that these inconsistencies might stem from a gap in knowledge how the relevance of existing theories varies dependent on whether we look at variation in family formation behavior across individuals, subnational regions or countries. To test this hypothesis we revisit the existing theories by analyzing harmonized survey data from 16 European countries using a three-level hierarchical model. Our results suggest that the Second Demographic Transition framework is particularly important to understanding variation between countries, while pattern of disadvantage hypotheses seem more relevant to understanding variation between individuals and subnational regions.

Since the unification of Germany in 1990, the former communist eastern part of the country has experienced substantial levels of population decline and outmigration. These trends are largely attributable to East-West differences in economic development (May 2007). In this article, we explore the question of whether the recent decline in population is a temporary phenomenon related to the period of transition, or whether long-term geographical factors also affect spatial population trends in Germany. In particular, we investigate to what extent East-West differences are related to the fact that parts of western Germany belong to the European dorsal (or Blue Banana arc), which has long been the most important area of economic activity in Europe (Brunet 1989). Our findings show that an East-West gradient in spatial population trends has existed since the late 19th century. This suggests that long-term geographical factors are relevant for understanding trends in Germany’s spatial population development.

BackgroundThe economic stress hypothesis (ESH) predicts decreases in the sex ratio at birth (SRB) following economic decline. However, as many factors influence the SRB, this hypothesis is difficult to test empirically. Thus, researchers make use of quasi-experiments such as German reunification: The economy in East, but not in West Germany, underwent a rapid decline in 1991. A co-occurrence of a decline in the East German SRB in 1991 has been interpreted by some as support for the ESH. However, another explanation might be that the low SRB in 1991 stems from increased random variation in the East German SRB due to a drastically reduced number of births during the crisis. We look into this alternative random variation hypothesis (RVH) by re-examining the German case with more detailed data.MethodsOur analysis has two parts. First, using aggregate-level birth register data for all births in the period between 1946 and 2011, we plot the quantum and variance of the SRB and the number of births and unemployment rates, separately for East and West Germany, and conduct a time series analysis on the East German SRB over time. Second, we model the odds for a male birth at the individual level in a multiple logistic regression (1991–2010, ~13.9 million births). Explanatory variables are related to the level of the individual birth, the mother of the child born, and the regional economic context.ResultsThe aggregate-level analysis reveals a higher degree of variation of the SRB in East Germany. Deviations from the time trend occur in several years, seemingly unrelated to economic development, and the deviation in 1991 is not statistically significant. The individual-level analysis confirms that the 1991-drop in the East German SRB cannot directly be attributed to economic development and that there is no statistically significant effect of economic development on sex determination in East or West Germany.ConclusionOutcomes support the RVH but not the ESH. Furthermore, our results speak against a statistically significant effect of the reunification event itself on the East German SRB. We discuss the relative importance of behavioral and physiological responses to macro-level stressors, a distinction that may help integrate previously mixed findings. published

Several countries in Northern and Western Europe report cohort fertility rates of close to two children per woman, including Belgium, France, and Denmark. By contrast, most Central and Southern European countries have cohort fertility levels of only around 1.5-1.6 children. Germany is part of this second group. In order to explain these country differences in fertility levels, some scholars have stressed the role of the social policy context, while others have pointed to differences in social fertility norms. However, due to the interdependence of these two factors, it is cumbersome to isolate their impact on fertility trends. In our study we attempt to disentangle these influences by drawing on a quasi-natural experiment. In the aftermath of World War I, Germany was forced to cede the territory of Eupen-Malmedy to Belgium. The population in this area retained its German linguistic identity, but has been subject to Belgian social policies since the early 1920s. Our main research question is whether the fertility trends in this German-speaking region of Belgium follow the Belgian or the German pattern more closely. To answer this question, we use (micro)-census data to compare the fertility behavior in the German-speaking region in Belgium with data for western Germany and the Belgian Flemish- and French-speaking regions, controlling for individual-level characteristics. Our findings indicate that the overall fertility outcomes of the German-speaking region in Belgium resemble the Belgian pattern more than the German one. This provides support for the view that institutional factors play an important role for understanding the current fertility differences in Western Europe.

Demographic behaviour is shaped not only by characteristics at the individual level, but also by the context in which individuals are embedded. The Contextual Database of the Generations and Gender Programme (GGP) supports research on these micro-macro links by providing cross-country comparative contextual data on demographic, socio-economic, and policy developments covering up to 60 countries in Europe, North America, Asia, and Oceania. This paper presents conceptual considerations and recent advances in the implementation of this database. Although conceptually linked to the Generations and Gender Survey, the GGP Contextual Database can also be used for the analysis of data from other surveys or to study macro-developments. With its unique combination of features, this database could serve as a model for the development of contextual databases linked to other surveys. These features include the provision of harmonised national and sub-national regional time series of indicators in a dynamic web environment with innovative functionalities, such as metadata documentation by single data entry and automatic geocoding.

In their contributions to the debate on exceptional longevity, several scholars have noted the existence of spatial hot spots, or areas with a high concentration of individuals who have survived to very high ages (e.g. Sardinia in Italy or Okinawa in Japan). However, most of these studies were based on a small number of cases. This study investigates the spatial pattern of exceptional longevity in Germany by place of birth and place of death. We used a large dataset of exceptional longevity that covered all recorded individuals who reached the age of 105 in Germany in the period 1991 to 2002 (N: 1,339). Our research results show that, even in Germany, with its troubled 20th-century past, most of the semi-supercentenarians reached the age of exceptional longevity in the same region in which they were born. The discovery of this highly localised pattern supports the view that an investigation of regional variation in exceptional longevity can produce meaningful results. In our analysis of spatial variation, we were able to detect hot spots of exceptional longevity in Berlin and in north-western Germany. These findings are remarkable, as life expectancy in Germany is currently characterised by a south-north gradient, with the areas of highest life expectancy at birth being located in the south. The observed pattern of exceptional longevity instead reflects the life expectancy at birth pattern in Germany in the early 20th century and to some degree also the current life expectancy at age 80 pattern. Our findings might be interpreted as support to the argument that early and late life conditions might play an important role in explaining spatial variation of exceptional longevity in Germany.

This article investigates the role of states and regions in shaping spatial patterns of nonmarital fertility in Europe since 1960 using a dataset of 497 European subnational regions and smaller countries. Almost all regions registered substantial nonmarital fertility increases over the last 50 years. Prior research has shown that in the first half of the twentieth century states played a dominant role in drawing the demographic map of Europe (Watkins, From provinces into nations: demographic integration in Western Europe 1870–1960. Princeton University Press, Princeton, 1991). As a result, subnational regional variation decreased, while differences between countries increased. In this article, we investigate whether states continue to play such a dominant role in delineating patterns of nonmarital fertility between 1960 and 2007. We find that variation in nonmarital fertility levels increased as a whole across Europe, and states continued to be important for determining these patterns. However, the role of states relative to regions declined in the latest period examined (1990 and 2007). Possible explanations for the changes include increased supranational integration, for example, within the European Union, and decentralisation within states leading to increases in variation in subnational contextual conditions.

Historical Germany represents a perfect laboratory for studying interregional demographic differences, yet the historical family structures in this part of the European continent remain largely unexplored. This study seeks to fill this gap by documenting the variability of living arrangements using an aggregate measure of household complexity based on published statistics of the German census of 1885. We apply descriptive methods and spatially sensitive modelling techniques to this data in order to examine existing hypotheses on the determinants of household complexity in historical Europe. We investigate how regional variation in agricultural structures and employment, inheritance practices, ethnic background, and other socio-demographic characteristics relate to regional variation in household structures. Our results show that areas with low levels of household complexity were concentrated in south-western and southern Germany, while areas with high levels of household complexity were mostly situated in northern and north-eastern Germany. Contrary to our expectations, we found that the supposedly decisive socio-economic and cultural macro-regional differences that are known to have existed in late 19th-century Germany were at most only weakly associated with existing spatial patterns of household complexity. Our results tend to support Ruggles’ (2009) view that spatial variation in household structures is mostly linked to the degree of employment in agriculture and demographic characteristics.

In this paper, we re-introduce geography into the analysis of fertility decline in the first demographic transition in Europe. We reanalyze Galloway et al.'s (1994) Prussian data, fitting structural models similar to those of Galloway et al. to the data and to map the residuals. Our findings give evidence both of the predictive effect of economic as well as cultural variables. However, although testing different non-spatial model specifications, a significant unexplained geographic clustering of fertility decline always remains. Indeed, adjacency to an area of large fertility decline and location along communication and transport corridors seem to be important predictors of fertility decline beyond what one would expect from structural models. This gives support to the cultural diffusion hypothesis of the Princeton European Fertility Project.

For studying both individual-level and small-scale contextual influences on the effects of family policies on fertility, Multilevel Event History methods are the state-of-the-art. But in many countries, these methods cannot be applied because the available individual-level data are inadequate. This paper uses an alternative methodological framework that can be of help in these cases. It utilizes small-scale macro data, which is analyzed with Exploratory Data, Cluster, and Spatial Panel Model Analysis techniques. In a case study on the western German city of Bremen, the potential of this approach, as well as its limitations, are investigated. The study analyzes the impact of the parental leave reform of 1986 and the child benefit reform of 1996 on fertility levels in different city quarters (Stadtteile) of Bremen. The results indicate that both family policy reforms had, at least in the short-term, a significant impact on fertility levels. These positive effects were stronger in economically disadvantaged quarters. The findings also suggest that the reforms affected the timing more than the quantum of fertility. With regard to the methodological framework, we can conclude that the Spatial Analysis with small-scale macro data is a useful alternative when there is no individual-level data available for carrying out a Multilevel Event History Analysis.