This paper investigates the finite sample properties of a range of inference methods for propensity score …

. Estimation and inference can, however, be carried out with the generalized method of moments (GMM) by suitably aggregating … assumptions are proposed in the literature - often lacking a thorough discussion of the implications for estimation and inference … conditions required to establish identification and consistency, derive the asymptotic properties, and carry out inference for …

We study asymptotic inference based on cluster-robust variance estimators for regression models with clustered errors …