Design-based nested instrumental variable analysis
Zhe Chen, Xinran Li, Michael O. Harhay, Bo Zhang

TL;DR
This paper introduces a novel nested IV design and inference method to identify treatment effects among subgroups like always-compliers and switchers, addressing challenges in randomized assignment within nested IV structures.
Contribution
It develops a new pair-of-pairs nested IV design and a partly biased randomization scheme for valid inference in complex nested IV scenarios.
Findings
Estimated 52.2% of participants were always-compliers.
Flexible sigmoidoscopy showed a trend toward reducing colorectal cancer among always-compliers.
No effect was detected among switchers.
Abstract
Two binary instrumental variables (IVs) are nested if individuals who comply under one binary IV also comply under the other. This situation often arises when the two IVs represent different intensities of encouragement or discouragement to take the treatment, with one stronger than the other. In a nested IV structure, treatment effects can be identified for two latent subgroups: always-compliers and switchers. Always-compliers are individuals who comply even under the weaker IV, while switchers are those who do not comply under the weaker IV but do under the stronger IV. We introduce a novel pair-of-pairs nested IV design, where each matched stratum consists of four units organized in two pairs. We develop design-based inference for the always-complier sample average treatment effect and switcher sample average treatment effect. In a nested IV analysis, IV assignment is randomized…
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