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trade-policy

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End-to-End Python econometric pipeline for modeling geopolitical risk in international trade using advanced Bayesian filtering, high-dimensional fixed effects, and split-panel jackknife inference. Replicates Hardwick's (2025) methodology with full robustness testing and automated reporting.

  • Updated Sep 26, 2025
  • Jupyter Notebook

🌍 Model political distance and trade dynamics using a quantitative framework to enhance understanding of international trade relationships.

  • Updated Mar 26, 2026
  • Jupyter Notebook

The Trinity: Multi-AI prompt engineering framework (Claude+Gemini+Python). Proven ROI: 3,300x cost reduction ($18 vs $60K). Real metrics: 959 searches → 5,755 documents → 245 policies. Validated on semiconductor tariffs, scalable to any industry.

  • Updated Jan 13, 2026
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