What question did this study set out to answer?

This research aims to develop a framework for causal inference using instrumental variables in cases of imperfect compliance with treatment assignment.

June 1, 1996Journal of the American Statistical AssociationOpen Access

Identification of Causal Effects Using Instrumental Variables

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This research aims to develop a framework for causal inference using instrumental variables in cases of imperfect compliance with treatment assignment.
Utilized instrumental variables within the Rubin Causal Model framework for analysis.
Estimated the causal effect of veteran status on mortality using draft lottery numbers as an instrument.
Investigated sensitivity of the results to deviations from key assumptions.
IV estimand identified as the average causal effect for compliers under certain assumptions.
Without those assumptions, IV is merely the ratio of intention-to-treat estimands with no causal interpretation.
Sensitivity analysis demonstrated impact of critical assumptions on conclusions drawn from the study.

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Implication

Randomized trial demonstrates causal effects in veterans using instrumental variables for analysis, indicating potential impacts on mortality.

Cite This Study

Angrist et al. (1996) studied this question.

synapsesocial.com/papers/6a03ad022ca770c848de0648 https://doi.org/10.2307/2291629

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Implication

Randomized trial demonstrates causal effects in veterans using instrumental variables for analysis, indicating potential impacts on mortality.

Identification of Causal Effects Using Instrumental Variables

Key Points

Discussion

Implication

Cite This Study

Identification of Causal Effects Using Instrumental Variables

Key Points

Discussion

Implication

Cite This Study

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