Data Science and Econometrics II

Catalog description

Develops practical knowledge of modern econometric research designs that support causal inference. Topics include regression discontinuity designs, difference-in-differences, fixed effects, panel data with instrumental variables, clustering and bootstrap methods for calculating standard errors. Students learn how to estimate these econometric models in STATA.