Event history models are statistical methods that enable you to study the timing of events. Typical examples from the political science literature are changes in party preferences, the stability of democracies, and the duration of wars. In social policy research, this method is used to study unemployment, social upward mobility, retirement, school-to-work transitions and many more. The course is directed to students who seek an intuitive and applied introduction to statistical methods. The course also conveys the programming skills that are necessarily for setting up event history data. Programming skills are developed through exercises based on the statistical software package STATA. Students interested in this course should have some background in statistics (usually obtained by attending the courses “Statistics I”). Students of public policy, international affairs as well as public administration are welcome to attend. Beyond event history modeling, the goal of this course is to advance the students’ ability to work with micro level data, advance programming skills and employ data to solve research questions relevant in the field of applied policy research.
This course is for 2nd year MIA and MPP students only.