Beyond Correlation: Rewriting Policy Evaluation with Time-Series Data
![Learned econometric structures, visualized through a [latex]ggplot2[/latex] implementation, demonstrate discernible differences in their structural homology as determined by SHD comparison.](https://arxiv.org/html/2603.00041v1/2603.00041v1/Pairwise_SHD_Score_Comparison_Among_Learnt_Structures.png)
A new study challenges traditional econometric approaches by exploring how causal machine learning can provide more robust insights for policy decisions based on complex time-series data.







