Sensitivity Analysis for Causal Inference
No observational study can prove that unobserved confounding is absent. Sensitivity analysis asks: how large would unobserved confounding need to be to overturn the estimated causal effect? This shifts the question from "is there confounding?" (unanswerable) to "how much confounding would be needed?" (quantifiable and interpretable).
Where it sits
left: what it builds on · right: what builds on it · pale: exampleBy e2er authors
How studies reach it
- No Cash Flows, New Owners: Spot Bitco… → Sensitivity Analysis for Causal Infer…
- Digital credit scores and lending to … → Empirical study → Review of the identification → Sensitivity Analysis for Causal Infer…Example
- Stablecoins and the cost of remittanc… → Empirical study → Review of the identification → Sensitivity Analysis for Causal Infer…Example
- Remote work and promotion chances → Empirical study → Review of the identification → Sensitivity Analysis for Causal Infer…Example
- Exchange outages and crypto bid-ask s… → Event study in finance → Review of the identification → Sensitivity Analysis for Causal Infer…Example
- Attention shocks and small-cap mispri… → Event study in finance → Review of the identification → Sensitivity Analysis for Causal Infer…Example
and 13 more
Disciplines it reaches
Solid: published studies. Light: examples.
Computed from the records on this site: what each study, template and specialist names as used, which study extends which, and who authored what. 19 studies in total.
Provenance
- Project
- e2er bundled skills
- Maintained by
- e2er authors
- Licence
- MIT
- Source file
- bhanneke/E2ER-project/blob/v0.16.1/skills/files/causal-inference/sensitivity.md
- Identifier
- e2er/causal-inference/sensitivity
Use it
Ships with every installation of e2er.
Used by
Description
Data model- Discipline
- Economics
- Method family
- Empirical (quantitative)
- Design
- not specified
- Research stage
- Research design
- Authors
- e2er authors (Software, Methodology)
- Usage
- used in 9 templates · 1 published study · loaded by 2 specialists · Examples: 7 example studies
- Source
- e2er repository · skills/files · @d8fd8ab
- Record
- skill:e2er/causal-inference/sensitivity · JSON
Solid tags are declared by the source or mapped from its terms; dashed tags are inferred by a published rule. Hover a tag for its provenance.
More
causal-inferenceMIT
Evaluations
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