Studies conducted in historical populations and developing countries have evidenced the existence of clustering in infant deaths, which could be related to genetic inheritance, early life exposures, and/or to social and cultural factors such as education, socioeconomic status or parental care. A transmission of death clustering has also been found across generations.
This article investigates the association between, participation in, and exposure to voluntary organisations and marital fertility during the European fertility transition from 1880 to 1949. This is achieved using individual-level longitudinal demographic data from northern Sweden linked with individual-level information on voluntary organisation membership and contextual level information on organisation activity. How living near an organisation influenced fertility is measured using mixed effect Cox regressions.
Previous studies have consistently observed intergenerational continuities in childbearing. This study uses individual-level parish records to examine the intergenerational transmission of fertility over the life course of women in Sweden during the fertility transition in the second half of the nineteenth century. Bivariate correlations, event history analysis and Poisson regression models are estimated for a large number of indicators of reproductive behavior.
Historically, little is known about whether and to what extent disabled people found work and formed families. To fill this gap, this study analyses the life course trajectories of both disabled and non-disabled individuals, between the ages of 15 and 33, from the Sundsvall region in Sweden during the nineteenth century.
This paper presents the longitudinal database POPLINK, which has been developed at the Demographic Data Base at Umeå University, Sweden. Based on digitized Swedish population registers between c. 1700-1950, the database contains micro-data that covers the agrarian society through industrialization and further on to the Swedish welfare state and contemporary society. It is now possible to study the profound processes of the second demographic transition using individual level data with a proper size population.