Estimating impacts of climate stress on US milk production: a panel data with debiased machine learning approach
Published in Work in progress, 2026
Uses debiased machine learning on multi-year panel data to estimate the causal effect of climate stress on US milk production, allowing flexible controls for high-dimensional confounders while preserving valid inference on the treatment effect.
Recommended citation: Ta, Duong Phuc. "Estimating impacts of climate stress on US milk production: a panel data with debiased machine learning approach." Work in progress.