High-dimensional model-assisted inference for local average treatment effects with instrumental variables
Year of publication: |
2022
|
---|---|
Authors: | Sun, Baoluo ; Tan, Zhiqiang |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 40.2022, 4, p. 1732-1744
|
Subject: | Instrumental variable | Calibrated estimation | Causal inference | Complier average causal effect | Doubly robust estimation | Lasso penalty | Model misspecification | Propensity score | Regularized M-estimation | Kausalanalyse | Causality analysis | IV-Schätzung | Instrumental variables | Schätztheorie | Estimation theory | Induktive Statistik | Statistical inference | Robustes Verfahren | Robust statistics | Modellierung | Scientific modelling | Schätzung | Estimation | Nichtparametrisches Verfahren | Nonparametric statistics |
-
Doubly robust difference-in-differences estimators
Sant'Anna, Pedro H. C., (2020)
-
Raunig, Burkhard, (2017)
-
Inference on local average treatment effects for misclassified treatment
Yanagi, Takahide, (2017)
- More ...
-
On a likelihood approach for Monte Carlo integration
Tan, Zhiqiang, (2004)
-
Marginal and nested structural models using instrumental variables
Tan, Zhiqiang, (2010)
-
Regression and weighting methods for causal inference using instrumental variables
Tan, Zhiqiang, (2006)
- More ...