The Heckman Correction is a statistical technique used to address selection bias in samples where the outcome of interest is only observed for a non-random subset of data. It involves a two-step procedure where the first step estimates the probability of selection and the second step corrects the outcome model using this selection probability to produce unbiased estimates.
