Longitudinal Analysis of Historical Demographic Data


Historical demography is an interdisciplinary field with a long history of important contributions to population studies and to the understanding of the past. This research has revealed a great deal about fundamental demographic processes such as household and family dynamics, the transition to smaller family units, pre- and post-industrial population dynamics, the demographic transition, migration patterns, and demographic responses to economic stress.

This 4-week course will emphasize the use of event history analysis and data management of historical databases drawn from European, North American, and Asian populations. Longitudinal data will be employed to construct time-varying covariates and contextual variables for individuals, families, and households. Methodological issues such as censoring and incomplete information will also be addressed. Participants should be familiar with quantitative methods, including regression analysis. Those who need preparation in statistics are advised to attend the regression course in the first ICPSR summer session.

The application process is competitive, and enrollment will be limited. Participants will be selected on the basis of their interests in the topical areas, prior methodological training, and potential for research contributions to the area.

Application: applications must include a vita, and cover letter summarizing research interest, course objectives, and experience. Graduate students also need to include a letter of reference from their adviser and a transcript of grades. Applications must be submitted online through the ICPSR Summer Program Portal.

Deadline: the application deadline is May 3, 2013.

Fee: No fee will be charged to attend the course for those accepted to it.

Stipends: a limited number of travel grants (between $500 and $2,000 US) will be awarded to cover travel and per diem.

Workshop support is provided by a Science Education Partnership Award from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, and the ICPSR Summer Program.

Tags: longitudinal, historical, demographic

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