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Summary

  • Replace Jupyter notebook with clean Python script that mirrors the PolicyEngine API methodology (budget.py / compare.py)
  • Add comprehensive README documenting all 16 neutralized and 20 updated variables, out-of-scope variables, and methodology
  • Update state_impacts_detailed.csv with 2026 results using enhanced_cps_2024 dataset

Key results (2026):

  • Total state tax revenue increase: $5.92B
  • 32 states affected, 20.7M households (14.1%)
  • Top states: CA (-$2.56B), MI (-$530M), IL (-$377M)

Depends on PolicyEngine/policyengine-us#7342 for the GA/KS formula fixes.

Test plan

  • Script runs successfully and produces consistent results
  • Calculations verified against API methodology

🤖 Generated with Claude Code

…ptions

- Replace Jupyter notebook with clean Python script mirroring API methodology
- Add comprehensive README documenting all neutralized/updated variables
- Update state_impacts_detailed.csv with 2026 results using enhanced_cps_2024

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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