confounding

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

In the absence of randomized controlled and natural experiments, it is necessary to balance the treated and control groups in order to estimate an unbiased causal effect of interest; otherwise, an opposite effect may be estimated, and incorrect …