Multilevel and Mixed Models in Stata

This workshop covers the use of Stata to fit multilevel (mixed) models, models that contain multiple levels of nested random effects. These effects may take the form of either random intercepts or random coefficients on regressors. After a brief review of the methodology, the course will demonstrate by example the fitting of such models in Stata. The focus will be primarily on linear (Gaussian) models, but binary, count, ordinal, and categorical responses will also be considered. In addition to models with nested effects, models with crossed effects will also be discussed. Specialized within-group error structures, such as heteroskedastic, autoregressive, and spatial exponential structures, will also be covered. No prior knowledge of Stata is required, but familiarity with multilevel modeling will prove useful.