Estimating causal effects with optimization-based methods: A review and empirical comparison

no code implementations • 28 Feb 2022 • Martin Cousineau, Vedat Verter, Susan A. Murphy, Joelle Pineau

In the absence of randomized controlled and natural experiments, it is necessary to balance the distributions of (observable) covariates of the treated and control groups in order to obtain an unbiased estimate of a causal effect of interest; otherwise, a different effect size may be estimated, and incorrect recommendations may be given.

Causal Inference