Identification Theory

Comprehensive framework for causal identification in statistical methodology

Use this skill when working on: causal identification, mediation analysis identification, DAG-based reasoning, potential outcomes, identification assumptions, partial identification, sensitivity analysis, or deriving identification formulas.

Core Concepts

What is Identification?

A causal parameter $\psi$ is identified if it can be uniquely determined from the observed data distribution $P(O)$.

Formally: $\psi$ is identified if $P_1(O) = P_2(O) \Rightarrow \psi_1 = \psi_2$.

Why Identification Matters