Applied longitudinal data analysis: Diversity across the life course

This course teaches empirical methods that enable students to study diversity across the life course. How long does it take to leave poverty or unemployment? What determines upward mobility in the labour market? When do individuals leave education, the parental home, get divorced or have a child? How do patterns vary by gender, education, family context, ethnicity, migration background and country? In order to answer questions of this kind, we use micro-level data from various sources. Moreover, students will become familiar with classical methods for longitudinal data. These include, in particular: Event history modeling, sequence analysis and fixed-effects regression. Some R skills (usually obtained in STAT I) are useful. The course is designed for students who have taken Statistics I and who are following the policy analysis track. However, MIA Students and MPP students with a specialisation in management and organisation are very welcome as well. The course is particularly suitable for students who are searching for data for their MA projects. The course leaves room to explore the potential of different data sets and to employ the data to answer substantial policy-relevant research questions.