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TomeHirataCopilot
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Update docs/source/tutorials/oregon.rst
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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@@ -200,7 +200,7 @@ The analysis produces the following local distribution treatment effects visuali
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**1. LDTE Interpretation and Distribution-Level Insights**
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- **Simple Local Estimator**: Shows LDTE ≈ -0.12 at zero costs, meaning 12 percentage points fewer insured individuals have zero ED costs. The effect converges to zero around $10,000 and remains flat thereafter.
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- **ML-Adjusted Local Estimator**: Shows a smaller effect of LDTE ≈ -0.15 at zero costs, with similar convergence patterns.
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- **ML-Adjusted Local Estimator**: Shows an LDTE ≈ -0.15 at zero costs—a slightly larger (more negative) effect than -0.12—with similar convergence patterns.
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- **Key Finding**: Both estimators reveal insurance primarily affects the lower tail (zero to ~$10,000), shifting the distribution rightward. This indicates insurance increases ED access among those who would otherwise not seek care, while having minimal impact on high-cost users.
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