Affiliation:
1. Department of Economics , University of Munich , Munich , Germany
Abstract
Abstract
In this paper, we review several estimators of the average treatment effect (ATE) that belong to three main groups: regression, weighting and doubly robust methods. We unify the exposition of these estimators within an M-estimation framework and we derive their variance estimators from the sandwich form variance-covariance matrix of the M-Estimator. Additionally, we re-estimate the causal return to higher education on earnings by the reviewed methods using the rich dataset provided by the British National Child Development Study (NCDS) as an empirical illustration.
Funder
Deutsche Forschungsgemeinschaft
Subject
Applied Mathematics,Economics and Econometrics,Statistics and Probability