Overlap weight ($\pi (X)\{1-\pi (X)\}$)

For binary treatment with propensity score $\pi (X)$, the overlap weight $\pi (X)\{1-\pi (X)\}$ emphasizes covariate strata in which both treatments occur with appreciable probability.