Why Propensity Scores Should Not Be Used for Matching

Short summary

Propensity score matching (PSM), a popular causal inference preprocessing method, often increases imbalance, inefficiency, bias, and model dependence by approximating a completely randomized experiment instead of a more efficient fully blocked one.

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