Master of International Affairs   Master of Public Policy   Master of Data Science for Public Policy  

Applied longitudinal data analysis

This course teaches basic sociological concepts and empirical methods that enable students to study mobility across the life course. How long does it take to come out of poverty or unemployment? What determines upward mobility in the labour market? When do individuals finish education, leave the parental home, get divorced or have a child? How do patterns vary by gender, education, family context, 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 modelling, sequence analysis and fixed-effects regression. Some R skills (usually obtained in STATS I) are useful.

This course is for 2nd year MIA, MPP and MDS students only.