Identification of Causal Effects Using Instrumental Variables
Authors
Discussion
Loading...
Member takes
Implication
Randomized trial demonstrates causal effects in veterans using instrumental variables for analysis, indicating potential impacts on mortality.
Key Points
- 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.
Cite This Study
Angrist et al. (1996) studied this question.