Propensity Score Matching is a statistical technique used to estimate the effect of a treatment by accounting for covariates that predict receiving the treatment, thereby reducing selection bias in observational studies. It involves pairing each treated unit with a non-treated unit that has a similar propensity score, which is the probability of receiving the treatment given observed covariates.