How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Binary-instrument principal strata and LATE
Definition
In the setup of Binary instrumental-variable potential-outcome setup, the four possible joint values of define the following principal strata (subsets of the target population):
- Always-takers: .
- Never-takers: .
- Compliers: and ; write this event as .
- Defiers: and .
Under exclusion, the common potential outcomes are defined as in Binary instrumental-variable potential-outcome setup. When are integrable, the average treatment effect is . If , the local average treatment effect (LATE) is Complier status depends on the joint pair of potential treatments and is not defined by the single treatment value observed for a unit. Monotonicity excludes defiers; it does not assert that the LATE equals the population ATE.
Depends on
Used by
- Core IV conditions alone do not identify the population ATE Counterexample
- A finite randomized encouragement example Example
- Defiers can make the Wald ratio differ from the complier effect Example
- With heterogeneous effects, LATE can differ from ATE Example
- Binary monotonicity excludes defiers Lemma
- The monotone IV first stage is the complier proportion Lemma
- The monotone IV reduced form is a complier-weighted effect Lemma
- A constant additive effect is identified by the Wald ratio Theorem
- The Wald ratio identifies the complier average treatment effect Theorem
Dependency tree · two levels
4 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Hernán and Robins, Causal Inference: What If, Chapter 16, §16.4 and Technical Point 16.7, printed pp. 217–225 (standard reference, not scraped)
- Hyunseung Kang, Causal Inference: Identification Under Unmeasured Confounding (Instrumental Variables), Compliance Types and LATE sections (standard reference, not scraped)