Econometrics and Forecasting

Catalog description

This course provides an applied perspective on econometric concepts, including causal inference, discrete choice models, and statistical machine learning for forecasting. Additionally, students will be introduced to the practice of econometrics and predictive analytics through real-world applications, using the programming languages R and Stata. Prerequisites: Graduate standing.