Before revision:  We derive the asymptotic properties of inverse probability weighted estimators for the average, distributional, and quantile treatment effects based on the IPS and illustrate their finite sample performance via Monte Carlo simulations and two empirical applications.
After revision:  We derive the asymptotic properties of inverse probability weighted estimators for the average, distributional, and quantile treatment effects based on the proposed propensity score estimator and illustrate their finite sample performance via Monte Carlo simulations and two empirical applications.