Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities
arXiv:2604.23904v1 Announce Type: cross
Abstract: Synthetic data offers a promising tool for privacy-preserving data release, augmentation, and simulation, but its use in causal inference requires preserving more than predictive fidelity. We show that…