- Design defensible causal research frameworks for policy impact evaluation.
- Apply advanced causal machine learning methods to estimate treatment effects.
- Analyze heterogeneous policy impacts using large-scale panel data.
- Develop reproducible, Python-based econometric workflows.
- Produce publication-ready outputs and policy simulation models for evidence-based decision-making.
AI-Powered Econometric Forecasting & Causal Inference
Advancing Rigorous Policy Evaluation Through Causal Machine Learning
- ModeVirtual / Online
- LevelAdvanced
- Fee₹2,499