Efficient semiparametric estimation for Gini inequality treatment effects

2017 ◽  
Vol 154 ◽  
pp. 96-100 ◽  
Author(s):  
Xiaofeng Lv ◽  
Rui Li ◽  
Zheng Fang
Keyword(s):  
Treatment Effects ◽  
Semiparametric Estimation

scholarly journals Semiparametric Estimation of Treatment Effects in Randomized Experiments

2021 ◽  
Author(s):  
Susan Carleton Athey ◽  
Peter Bickel ◽  
Aiyou Chen ◽  
Guido W. Imbens ◽  
Michael Pollmann
Keyword(s):  
Treatment Effects ◽  
Semiparametric Estimation ◽  
Randomized Experiments

scholarly journals Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges

2017 ◽  
Vol 107 (5) ◽  
pp. 278-281 ◽  
Author(s):  
Susan Athey ◽  
Guido Imbens ◽  
Thai Pham ◽  
Stefan Wager
Keyword(s):  
Treatment Effects ◽  
Semiparametric Estimation ◽  
Fixed Number ◽  
Standard Errors ◽  
Treatment Assignment ◽  
Average Treatment ◽  
Point Estimates ◽  
Average Treatment Effects

There is a large literature on semiparametric estimation of average treatment effects under unconfounded treatment assignment in settings with a fixed number of covariates. More recently attention has focused on settings with a large number of covariates. In this paper we extend lessons from the earlier literature to this new setting. We propose that in addition to reporting point estimates and standard errors, researchers report results from a number of supplementary analyses to assist in assessing the credibility of their estimates.

scholarly journals Semiparametric Estimation of Treatment Effects in Randomized Experiments

2021 ◽  
Author(s):  
Susan Athey ◽  
Peter Bickel ◽  
Aiyou Chen ◽  
Guido Imbens ◽  
Michael Pollmann
Keyword(s):  
Treatment Effects ◽  
Semiparametric Estimation ◽  
Randomized Experiments
Sign in / Sign up

Export Citation Format

Share Document