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Benefit Probability Bounds

Abstract

The two Boolean potential-outcome marginals give algebraic bounds on the benefit mass of every normalized nonnegative joint law.

Theorem 1.1 (Potential-outcome marginals bound the benefit probability).

Proof. Machine-checked in Lean as D5/S3/ConceptDynamics/Causal/BenefitProbabilityBounds.benefit_probability_bounds (✓ std3). ∎

Source. Repository-derived.

Commentary.

Let mass be a normalized nonnegative joint law of the Boolean pair of potential outcomes. The benefit probability is the mass of the false-true response type.

The treatment-one marginal is the sum of the false-true and true-true masses. The treatment-zero marginal is the sum of the true-false and true-true masses.

Nonnegativity of the true-false cell gives the lower marginal-difference bound. Nonnegativity of the true-true and false-false cells gives the two upper bounds.

References