Re: Solving missing data problems using inverse-probability-weighted estimators

Hi, why the method uses the inverse of the conditional probability of selection instead of its probability?
I know Wooldridge uses the same approach, but form me is counter intuitive to assign more weight, via inverse probability, to the less likely occurrences and less weight to the most likely ones.