algorithmic-governance-audit

Causal Forest with Double Machine Learning pipeline for estimating heterogeneous treatment effects of Chinese agricultural policy reforms on county-level structural transformation, using county-year panel data (2000-2023). Covers three quasi-natural experiments (2006 tax abolition, 2016 supply-side structural reform, 2014 targeted poverty alleviation) with a full robustness, heterogeneity, targeting, and mechanism suite.