Causal Machine Learning for Macroeconomic Forecasting Under Structural Breaks and Economic Uncertainty
An integrated causal machine learning framework designed to improve macroeconomic forecasting performance under structural instability and uncertainty is proposed, demonstrating that causal machine learning models significantly outperform conventional econometric frameworks such as VAR and TVP-VAR models, as well as st...