Statistical Methods for Hierarchical and Panel Data

A survey course providing an applied introduction to statistical methods for analyzing clustered and panel data. Topics include multilevel analysis, fixed effects models, and growth models. Our focus will be applied, with an introduction to underlying theory and emphasis on application and interpretation. Overall goals include highlighting the framework and assumptions for each approach; studying applications; understanding disciplinary and theoretical preferences for particular approaches; providing experience with software; and studying issues that arise in empirical research.