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This paper examines the influence of individual and household factors on an individual's propensity to emigrate from Halland, a region in south-west Sweden, to the United States during the era of mass migration in the late nineteenth century. The study has a case-control design, using individual-level longitudinal data for a group of emigrants (cases) and a group of non-emigrants (controls). Results indicate the importance of a family's emigration history; individuals whose relatives had previously moved to the United States were more likely to emigrate themselves. In addition, the results also show how this impact varied between groups and how other factors relating to the individual's life situation affected the migration decision. Thus, this paper shows how chain migration and migration networks play important roles during times of mass migration. [ABSTRACT FROM AUTHOR]

This paper examines social class differences in fertility, using longitudinal micro-level data for a regional sample in Sweden, 1922–2015. Using discrete-time event history models, we estimated the association between social class and parity-specific duration to next birth, adjusting for household income in separate models. Social class was associated with fertility quite independently from income and the association was both parity-dependent and sex-specific. For transitions to parenthood, higher class position was associated with higher fertility for men and lower fertility for women before 1970, but then converged into a positive association for both sexes after 1990. For continued childbearing, a weak U-shaped relationship before 1947 turned into a positive relationship for second births and a negative relationship for higher-order births in the period after 1990. These patterns likely reflect broader changes in work–family compatibility and are connected to profound shifts in labour markets and institutional arrangements in twentieth-century Sweden. [ABSTRACT FROM AUTHOR]

International migration flows are considered the most difficult demographic component to forecast and, for that reason, models for forecasting migration are few and relatively undeveloped. This is worrying because, in developed societies, international migration is often the largest component of population growth and most influential in debates about societal and economic change. In this paper, we address the need for better forecasting models of international migration by testing a hierarchical (bilinear) model within the Bayesian inferential framework, recently developed to forecast age and sex patterns of immigration and emigration in the United Kingdom, on other types of migration flow data: age- and sex-specific time series from Sweden, South Korea, and Australia. The performances of the forecasts are compared and assessed with the observed time-series data. The results demonstrate the generality and flexibility of the model and of Bayesian inference for forecasting migration, as well as for further research. [ABSTRACT FROM AUTHOR]

This paper considers whether short-term variation in exposure to disease early in life, as measured by a variety of mortality rates, has an effect on the height of young adults. Height information for men born in southern Sweden, 1814–1948, and included in the Scanian Economic Demographic Database (SEDD), was obtained from records of medical inspections carried out as part of Sweden’s system of universal conscription. Community-level infant mortality rates were calculated not only by year of birth but also for time in utero and in the first year of life. Comparison between brothers was used to remove the influence of confounding factors. The results suggest that any effect that exposure to disease in early life, as measured by mortality rates, may have had on height, either through selection or scarring, is likely to have been very weak. Supplementary material for this article is available at: http://dx.doi.org/10.1080/00324728.2015.1045545 [ABSTRACT FROM PUBLISHER]