Efficient estimation of data combination models by the method of auxiliary-to-study tilting (AST)
Year of publication: |
April 2016
|
---|---|
Authors: | Graham, Bryan S. ; Pinto, Cristine Campos de Xavier ; Egel, Daniel |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 34.2016, 2, p. 288-301
|
Subject: | Average treatment effect on the treated (ATT) | Double robustness | Earnings decompositions | Propensity score | Semiparametric difference-in-differences | Two-sample instrumental variables (TSIV) | Nichtparametrisches Verfahren | Nonparametric statistics | Schätztheorie | Estimation theory | Schätzung | Estimation |
-
Model averaging in semiparametric estimation of treatment effects
Kitagawa, Toru, (2015)
-
A simple and successful shrinkage method for weighting estimators of treatment effects
Pohlmeier, Winfried, (2014)
-
Outliers in semi-parametric estimation of treatment effects
Canavire-Bacarreza, Gustavo, (2021)
- More ...
-
Inverse probability tilting and missing data problems
Egel, Daniel, (2008)
-
Efficient estimation of data combination models by the method of auxiliary-to-study tilting (AST)
Graham, Bryan S., (2011)
-
Inverse probability tilting for moment condition models with missing data
Graham, Bryan S., (2012)
- More ...