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For any k ≤K, we have 1 ˜n ∑ i∈Ik [ ˆτ (−k)(Xi) −ν(−k) ][ ˆϕ(−k)(Zi) −ϕ∗(Zi) ] = 1 K − 1 ∑ k′̸=k 1 ˜n ∑ i∈Ik {( ˆτ (−k)(Xi) −ν(−k) )[ ˆϕ(−k,−k′)(Zi) −ϕ∗(Zi) ]} · 2023

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stat.ME 1

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2025 1

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Semi-supervised inference for treatment heterogeneity

stat.ME · 2025-09-05 · conditional · novelty 6.0

Semi-supervised estimators for total and explained treatment heterogeneity, with an optimally weighted procedure that is guaranteed to be at least as efficient as supervised estimation.

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  • Semi-supervised inference for treatment heterogeneity stat.ME · 2025-09-05 · conditional · none · ref 2

    Semi-supervised estimators for total and explained treatment heterogeneity, with an optimally weighted procedure that is guaranteed to be at least as efficient as supervised estimation.