%0 Report
        %A Sloczynski, Tymon
%A Wooldridge, Jeffrey M.
        %T A General Double Robustness Result for Estimating Average Treatment Effects
        %D 2014
        %8 2014 Mar
        %I Institute of Labor Economics (IZA)
        %C Bonn
        %7 IZA Discussion Paper
        %N 8084
        %U https://www.iza.org/index.php/publications/dp8084
        %X In this paper we study doubly robust estimators of various average treatment effects under unconfoundedness. We unify and extend much of the recent literature by providing a very general identification result which covers binary and multi-valued treatments; unnormalized and normalized weighting; and both inverse-probability weighted (IPW) and doubly robust estimators. We also allow for subpopulation-specific average treatment effects where subpopulations can be based on covariate values in an arbitrary way. Similar to Wooldridge (2007), we then discuss estimation of the conditional mean using quasi-log likelihoods (QLL) from the linear exponential family.
        %K double robustness
%K inverse-probability weighting (IPW)
%K multi-valued treatments
%K quasi-maximum likelihood estimation (QMLE)
%K treatment effects