Data Science and Econometrics I

Catalog description

Develops practical knowledge of basic econometric theory, methods and applications. Emphasizes research designs that support causal inference. Topics include fundamentals of OLS estimation and statistical inference, bias, consistency, Monte Carlo simulation, and instrumental variables. Students learn how to estimate econometric models in STATA.