External Validity in an Instrumental Variable Setting

We study the external validity of instrumental variable estimation. The key assumption we impose for external validity is conditional external unconfoundedness among compliers, which means that the treatment effect and target selection are independent among compliers conditional on covariates. We study this assumption with a case study about the impact of solid-fuel usage on women's average cooking time. Among the six countries examined, we find no statistical evidence that the assumptions required for external validity are violated for four countries (Ethiopia, Honduras, Kenya, and Zambia), but in Cambodia and Nepal, we find low external validity. These results provide suggestive evidence that the assumptions required for external validity are violated for these two countries.

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Publication Details

Journal
Evaluation Review
Published
2025-05-15
DOI
https://doi.org/10.1177/0193841x251342619
Primary Topic
Advanced Causal Inference Techniques
Type
article
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article

External Validity in an Instrumental Variable Setting

Kyungtae Lee, Alexander Kwon
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Evaluation Review
Advanced Causal Inference Techniques
article

External Validity in an Instrumental Variable Setting

Kyungtae Lee, Alexander Kwon
article en

Abstract

We study the external validity of instrumental variable estimation. The key assumption we impose for external validity is conditional external unconfoundedness among compliers, which means that the treatment effect and target selection are independent among compliers conditional on covariates. We study this assumption with a case study about the impact of solid-fuel usage on women's average cooking time. Among the six countries examined, we find no statistical evidence that the assumptions required for external validity are violated for four countries (Ethiopia, Honduras, Kenya, and Zambia), but in Cambodia and Nepal, we find low external validity. These results provide suggestive evidence that the assumptions required for external validity are violated for these two countries.

Evaluation ReviewVol. 49(6)
The Graduate Center, CUNY (US)
Gender equality
Openalex Percentile: Top 89%
Advanced Causal Inference Techniques
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