Efficient Covariate Balancing for the Local Average Treatment Effect

Cites Work

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Nonparametric IV estimation of local average treatment effects with covariates
Doubly robust difference-in-differences estimators
Inverse probability weighted estimation of local average treatment effects: a higher order MSE expansion
A simple and successful shrinkage method for weighting estimators of treatment effects
Covariate balancing propensity score by tailored loss functions
Semiparametric instrumental variable estimation of treatment response models.
Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores
Shrinkage for categorical regressors
Irregular Identification, Support Conditions, and Inverse Weight Estimation
Semiparametric efficiency in nonlinear LATE models
Identification of Causal Effects Using Instrumental Variables
NONPARAMETRIC ESTIMATION OF REGRESSION FUNCTIONS WITH DISCRETE REGRESSORS
Identification and Estimation of Local Average Treatment Effects
On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
Inverse Probability Tilting for Moment Condition Models with Missing Data
Balancing Covariates via Propensity Score Weighting
Semiparametric Efficiency in Multivariate Regression Models with Missing Data
Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity
Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions
Double/debiased machine learning for treatment and structural parameters
Robust estimation of causal effects via a high-dimensional covariate balancing propensity score
Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
Globally Efficient Non-Parametric Inference of Average Treatment Effects by Empirical Balancing Calibration Weighting
Structural Equations, Treatment Effects, and Econometric Policy Evaluation1
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
Independence, Monotonicity, and Latent Index Models: An Equivalence Result
Elicitation of Personal Probabilities and Expectations
Covariate Balancing Propensity Score