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1− Γ−1 Γ + 1 2# ¯τ(t1,t2) i,SW . Averaging over the four treatment assignment cases of (T i1, Ti2), E[Ui,Γ] = 1 4 X t1∈{1,−1} X t2∈{1,−1} E[U (t1,t2) i,Γ ] ≤ 1 4

( 1 2 , 1 2 ,0,1) (1b,0 b,1 a,0 a) ( 1 2 , 1 2 ,1,0) (1,0, 1 2 , 1 2) (1b,0 b,0 a,1 a) ( 1 2 , 1 2 ,0,1) (1,0, 1 2 , 1 2) (0b,1 b,1 a,0 a) ( 1 2 , 1 2 ,1,0) (0,1, 1 2 , 1 2) (0b,1 b,0 a,1 a) ( 1 2 , 1 2 ,0,1) (0,1, 1 2 , 1 2) 37 Taking the · 2020

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Design-based nested instrumental variable analysis

stat.ME · 2025-11-27 · unverdicted · novelty 7.0

A design-based method estimates always-complier and switcher sample average treatment effects under nested binary instrumental variables with a partly biased randomization scheme.

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  • Design-based nested instrumental variable analysis stat.ME · 2025-11-27 · unverdicted · none · ref 4

    A design-based method estimates always-complier and switcher sample average treatment effects under nested binary instrumental variables with a partly biased randomization scheme.