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Classic demography is formal in its essence and describes with mathematical means the empirical structure of populations and their dynamics shaped by aging, fertility, mortality and migration. Social demography goes beyond the statistical description of a population and creates an interdisciplinary link to other, theoretically informed behavioural sciences with the goal to explain central demographic and socioeconomic phenomena with social behaviour and beyond.
In this course, we will learn about several important explanations for demographic behaviour and trends which are located on the population level, the intermediate level, the individual level (macro-meso-micro) and even down to the molecular genetic level, which (quite) recently has been integrated in this field. We will learn, amongst other things, about social networks effects, the importance of neighbourhoods, technological advancements and assume a life course perspective for the study of processes such as aging or the development of early life experiences. All of these social factors might interact with an individual’s genome. We will discuss several (newly) available data sources including those, which stem from recent computational efforts tracing internet data from facebook or twitter. Finally, all elements include a practical component, so the student receives hands-on experience.
The students are expected to have an advanced knowledge of empirical social research and applied econometrics.
After attending this course, students should be equipped with important analytical and methodological tools to understand the connection between the social world and central population and developmental indicators and have an overview over the current research frontiers. They furthermore will be equipped with practical experience in various data analysis techniques.
The assessment will be an essay, which students will hand in one week after the final course session. The essay will be max 2 pages long, single spaced. The essay will review a research article on a demographic topic including an original discussion of a highlighted aspect and one paragraph summarizing the discussion and your conclusions. Evaluation criteria are as follows: 30 percent the structure of text, 30 percent the literature review, 30 percent the original discussion, 10 percent the conclusions.
1: What is Social Demography?
2: Social Demography and Causality
3: The Second Demographic Transition
4: Practical Session: Rates
5: Fertility and Sexuality (Methods: Fixed-effects regression analysis)
6: Practical Session: Fixed effects models
7: Health, Morbidity and Mortality (Methods: Event history analysis)
8. Practical session: Even History Analysis
9: New Families
10: Practical Session: Other applied Methods
11: New Demography
12: Summary and Q&A
Hirschman, C., S. Tolnay. (2005). Social Demography. In: Handbook of Population, eds. Dudley Poston and Michael Micklin, 419–449. New York: Kluwer Academic.
Mills, M. (2010). Introducing survival and event history analysis. Sage.
Livi Bacci, M. (2012) A Concise History of World Population, Wiley-Blackwell.
Balbo, N., and N. Barban (2014) Does Fertility Spread among Friends? American
Sociological Review 79: 412-431
Balbo, N., Billari, F. C., & Mills, M. (2013). Fertility in advanced societies: A review of research. European Journal of Population/Revue européenne de Démographie, 29(1), 1-38.
Mills, M., Rindfuss, R. R., McDonald, P., & Te Velde, E. (2011). Why do people postpone parenthood? Reasons and social policy incentives. Human reproduction update, 17(6), 848-860.
Tropf, F. C., & Mandemakers, J. J. (2017). Is the Association Between Education and Fertility Postponement Causal? The Role of Family Background Factors. Demography, 54(1), 71–91. http://doi.org/10.1007/s13524-016-0531-5
Kohler, H.-P., and L. Mencarini (2016) The Parenthood Happiness Puzzle: An Introduction
to the Special Issue. European Journal of Population 32: 327–338.
Moore, M. R., and M. Stambolis-Ruhstorfer (2013) LGBT Sexuality and Families at the Start of the Twenty-First Century. Annual Review of Sociology, 39: 491-507
Health, Morbidity and Mortality
Goldman DP, Smith JP. (2002) Can Patient Self-Management Help Explain the SES Health Gradient? PNAS: Proceedings of the National Academy of Science, 99: 10929–10934.
Hessel, P., and J. S. Thomas (2016) An Education Gradient in Health, a Health Gradient in Education, or a Confounded Gradient in Both? Social Science and Medicine,158: 168-170.
Browning CR, Wallace D, Feinberg SL, and Cagney KA. (2006) Neighborhood Social Processes, Physical Conditions, and Disaster-Related Mortality: The Case of the 1995 Chicago Heat Wave. American Sociological Review; 71: 661–678.
Leventhal T and Brooks-Gunn J. (2003) Moving to Opportunity: An Experimental Study of
Neighborhood Effects on Mental Health. American Journal of Public Health, 93:
Hayward, M.D. (2004) The Long Arm of Childhood: The Influence of Early-Life Social Conditions on Men’s Mortality. Demography 41(1): 87-107.
Myrskylä, M. (2010) The effects of shocks in early life mortality on later life expectancy and mortality compression: A cohort analysis. Demographic Research 22(12): 289-320.
Family and the life course
Baars, J. (2009) Problematic Foundations: Theorizing Time, Age, and Ageing. In V.L. Bengtson et al. (eds.), Handbook of Theories of Ageing. Springer: New York, 87-100.
Dannefer, D., Kelley-Moore (2009) Theorizing the Life Course: New Twists in the Paths. In V.L. Bengtson et al. (eds.), Handbook of Theories of Ageing. Springer: New York, 389-412.
Elder Jr., G. H., M. Kirpatrick Johnson, and R. Crosnoe (2003) The Emergence and Development of Life Course Theory. Handbook of the Life Course, p.3-19.
Mayer, K.U. (2009) New Directions in Life Course Research. Annual Review of Sociology, 35: 413-433.
Sarkisian, N., N. Gerstel. (2016): Does singlehood isolate or integrate? Examining the link between marital status and ties to kind, friends, and neighbors. Journal of Social and Personal Relationships, 33 (3): 361-384.
New demographic thinking and data
Mills, M. C., and F. C. Tropf. Sociology, Genetics, and the Coming of Age of Sociogenomics. Annual Review of Sociology 46 (2020).
Mills, M. C., & Tropf, F. C. (2016). The Biodemography of Fertility: A Review and Future Research Frontiers. Kölner Zeitschrift Für Soziologie Und Sozialpsychologie, 55(Special Issues Demography), 397–424.
Cesare, N., Lee, H., McCormick, T., Spiro, E., & Zagheni, E. (2018). Promises and pitfalls of using digital traces for demographic research. Demography, 55(5), 1979-1999.
Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabási, A. L., Brewer, D., ... & Jebara, T. (2009). Computational social science. Science, 323(5915), 721-723.