Longitudinal Data Analysis

4 credits · Graduate credit

This graduate level seminar takes an applied approach to the analysis of longitudinal data. The course has two core goals: (1) to introduce students to a variety of statistical techniques, including fixed effects, difference-in-differences, multilevel, and duration models; (2) to deepen students' skills in connecting substantive and theoretical questions to quantitative research design. Over the course of the semester, students will develop a quantitative, empirical paper on a topic of their choosing, receiving support and frequent feedback from the instructor.