This course of 7.5 ECTS is provided at 50% of full-time study during 2 October – 3 December, 2014.
This course is an introduction to event-history analysis (also known as survival analysis, hazard regression, intensity regression, or duration data analysis) and is given at the advanced (Masters / PhD level). Duration data is commonly used to address many research questions in demography, social sciences, and epidemiology. Examples of such questions are: Which factors influence how long people live, how long they stay unemployed, or when do they start a family? This course introduces the techniques for analyzing such questions and data and covers univariate and basic multivariate (regression) methods for analysis of duration (event-history) data. Students also learn data management skills that are specific to conducting event-history analysis in Stata.
The course provides an introduction to advanced demographic methods and their application to longitudinal life-course data. Different approaches and strategies for univariate and multivariate analyses of duration data in the form of demographic rates are presented. Students are expected to develop own analytical skills and to achieve a sound methodological understanding of literature based on event-history analyses. Course work and examination consist of computer-based exercises and discussion of research output from published demographic studies.