Econometrics II: Causal Inference and Forecasting

The use of advanced econometric techniques for causal inference and time-series forecasting. Key topics include Instrumental Variables (IV) estimation, Logistic and Probit regressions for binary outcomes, Difference-in-Differences (DiD) and synthetic control techniques to estimate causal effects in policy evaluation. Time series data will be used to forecast outcomes.

Credits

3 credits

Course Code

EC 487