Observations or Experiments: Data in Insurance

An important challenge for actuaries is that they need to answer causal questions with observational data. After a brief discussion about correlation and causality, we describe the “causation ladder,” and the three rungs: association or correlation (“what if I see...”), intervention (“what if I do...”), and counterfactuals (“what if I had done...”). Counterfactuals are important for quantifying discrimination.