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) | Schätztheorie | Estimation theory | Nichtparametrisches Verfahren | Nonparametric statistics | IV-Schätzung | Instrumental variables | Kausalanalyse | Causality analysis |
-
Inference on finite-population treatment effects under limited overlap
Hong, Han, (2020)
-
Robust confidence intervals for average treatment effects under limited overlap
Rothe, Christoph, (2015)
-
Robust confidence intervals for average treatment effects under limited overlap
Rothe, Christoph, (2017)
- More ...
-
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., (2008)
-
Inverse Probability Tilting for Moment Condition Models with Missing Data
Graham, Bryan S., (2008)
- More ...