Event history: Applied longitudinal analysis

This course introduces students to methods for the analysis of longitudinal data. In particular, methods for panel data will be employed in this course, such as fixed-effects modeling and the difference-in-difference approach. Students will also get familiar with event history techniques. Event history techniques are methods that locate events in time. Students are expected to conduct their own statistical analysis with micro-level data. The data for this course come from the European Social Survey (ESS), the Survey of Health, Aging and Retirement (SHARE) and the German Socio-Economic Panel (GSOEP). Students interested in this course should have some background in statistics (usually obtained by attending the course “Statistics I”) and should be familiar with a statistical software (such as SPSS or STATA). Students are welcome who like to answer empirical research questions, work with data and seek to get a firm background in applied empirical analyses.

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