Using negative controls to identify causal effects with invalid instrumental variables Article Swipe
Oliver Dukes
,
David B. Richardson
,
Zach Shahn
,
James M. Robins
,
Eric J. Tchetgen Tchetgen
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/biomet/asae064
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/biomet/asae064
Summary Many proposals for the identification of causal effects require an instrumental variable that satisfies strong, untestable unconfoundedness and exclusion restriction assumptions. In this paper, we show how one can potentially identify causal effects under violations of these assumptions by harnessing a negative control population or outcome. This strategy allows one to leverage subpopulations for whom the exposure is degenerate, and requires that the instrument-outcome association satisfies a certain parallel trend condition. We develop semiparametric efficiency theory for a general instrumental variable model, and obtain a multiply robust, locally efficient estimator of the average treatment effect in the treated. The utility of the estimators is demonstrated in simulation studies and an analysis of the Life Span Study.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/biomet/asae064
- OA Status
- green
- Cited By
- 2
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404633931
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404633931Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/biomet/asae064Digital Object Identifier
- Title
-
Using negative controls to identify causal effects with invalid instrumental variablesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-22Full publication date if available
- Authors
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Oliver Dukes, David B. Richardson, Zach Shahn, James M. Robins, Eric J. Tchetgen TchetgenList of authors in order
- Landing page
-
https://doi.org/10.1093/biomet/asae064Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://biblio.ugent.be/publication/01JP8NZRHNNRPQ8BYKHCJ8QNXTDirect OA link when available
- Concepts
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Instrumental variable, Estimator, Mathematics, Econometrics, Identification (biology), Outcome (game theory), Causal inference, Leverage (statistics), Average treatment effect, Causal model, Population, Statistics, Mathematical economics, Medicine, Environmental health, Botany, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
- References (count)
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21Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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