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Longitudinal Analysis of Historical Demographic Data
13 maart 2006
Instructor(s): George Alter, History, Indiana University; Myron Gutmann, History, University of Michigan
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 four-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 and history courses 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. Applications must include a vita, and cover letter summarizing research interest, course objectives, and experience. Students also need to include a letter of reference from their advisor and a transcript of grades.
A limited number of stipends ($1,500) will be awarded to cover travel and per diem expenses. Individuals applying for this course should check the Competitive Four-week box on the application form. For those admitted to the workshop, no fee will be charged to attend the course. Application materials are due by April 28.