Topic:  Longitudinal Methods

This special topics course addresses statistical techniques for the
analysis of repeat observations over time.  The course draws on a
range of models from various social science disciplines, all with
relevance to applications in sociology. The course begins with an
overview of alternative approaches to longitudinal data, a review of
econometric approaches to the linear regression model for continuous
dependent variables. and a brief introduction to the generalized
linear model. The emphasis throughout is on continuous outcomes, with
cursory attention to nonlinear models. Topics include (1) error
components and dynamic panel models, (2) time-series cross-section
models, (3) mixed models for growth curve analysis, and (4) as time
permits, nonlinear models TBA.  Prerequisities: Students are expected
to have completed a graduate-level course in linear regression, and
they should be familiar with matrix algebra.