Identification in most sample selection models depends on the independence of the regressors and the error terms conditional on the selection probability. All quantile and mean...

This paper demonstrates the identification of causal mechanisms of a binary treatment under selection on observables, (primarily) based on inverse probability weighting; i.e. we...

This paper investigates the replicability of three important studies on growth theory uncertainty that employed Bayesian model averaging tools. We compare these results with...