Endogeneity in statistical inference and forecasting
This project is about statistical inference and predictions in the face of identification problems (endogeneity), you can expect:
- data generation according to own-defined Data Generation Process
- endogeneity problems analysis (positive and negative mediators, confounders)
- OLS models
- instrumental variables
- simulation
- notebook with Python code
- project report
PS. Because I couldn’t find suitable and free photo for the background I created it myself :)