Doubly Robust Estimation of Local Average Treatment Effects Using ...

Robust inference on average treatment effects with possibly more ...

First, we show that a doubly-robust estimator is robust to model selection errors. These estimators were initially developed for robustness to ...

Three Essays on Doubly Robust Estimation Methods

... treatment effect, namely the local av- erage treatment effect. ... The third chapter deals with the doubly robust estimation in a multivalued treatment effect ...

Doubly robust scores for estimating the average conditional... - R

Given an outcome Y, treatment W and instrument Z, the (conditional) local average treatment effect is tau(x) = Cov[Y, Z | X = x] / Cov[W, Z | X = x]. This is ...

Semiparametric Estimation and Inference Using Doubly Robust ...

is a DR moment condition for estimating θo, and it is easy to verify that the orthogonality condition holds. Example 5 (Local Average Treatment Effects). Let Y ...

Covariate Balancing and the Equivalence of Weighting and Doubly ...

Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects ; Tymon Słoczyński. Brandeis ...

Multiply robust matching estimators of average and quantile ...

Robust inference of conditional average treatment effects using dimension reduction. ... Using matching to estimate treatment effects: Data requirements ...

Computing Average Treatment Effect for the Untreated (ATU) from ...

I am using the doubly robust estimator IPTW-RA to estimate the average treatment effect parameters (ATE, ATET and ATU).

The Finite Sample Performance of Instrumental Variable-Based ...

... estimation, using weighting, matching, or doubly robust ... Nonparametric IV estimation of local average treatment effects with covariates.

Implementing Double-robust Estimators of Causal Effects

with the coefficient of the treatment variable giving the average treatment effect. ... Estimation of average treatment effects based on propensity scores.

Doubly robust uniform confidence band for the conditional average ...

context of the local average treatment effect (LATE) of Imbens and Angrist (1994). ... (2015): “Doubly Robust Estimation of Causal Effects with Mul- tivalued ...

STATS 361: Causal Inference - Stanford University

treatment effect separately for each stratum using doubly robust methods as ... Dealing with limited overlap in estimation of average treatment effects.

Over-identified Doubly Robust identification and estimation

Our Over-identified Doubly Robust (ODR) technique is a simple extension of the Generalized Method of Moments. We illustrate our ODR with a variety of models.

Jeffrey M. Wooldridge | Papers With Code

Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment · no code implementations • 2 Aug 2022 ...

High-dimensional model-assisted inference for local average ...

Consider the problem of estimating the local average treatment effect with ... ply Robust Estimation of Average Treatment Effects Using ...

Properties of Doubly Robust Estimators when Nuisance Functions ...

... estimators of local average treatment effects using instrumental variables proposed by Tan (2006) and Ogburn, Rotnitzky, and Robins. (2015).

Semiparametric Estimation and Inference Using Doubly Robust ...

is a DR moment condition for estimating θo, and it is easy to verify that the orthogonality condition holds. Example 5 (Local Average Treatment Effects). Let Y ...

Doubly-Robust Inference in R using drtmle - Project MUSE

drtmle implements doubly robust confidence intervals and hypothesis tests for targeted minimum loss estimates of the average treatment effect.

Doubly Robust Difference-in-Differences Estimators • DRDID

The DRDID R package implements different estimators for the Average Treatment Effect on the Treated (ATT) in Difference-in-Differences (DID) setups.

Beyond LATE: Estimation of the Average Treatment Effect with an ...

However, when the treatment effect is heterogeneous, this estimation strategy only recovers the local average treatment effect (LATE). The LATE ...

DOUBLY ROBUST INSTRUMENTAL VARIABLE REGRESSION

Second, progress has been made to develop doubly robust estimation with ... Nonparametric IV estimation of local average treatment effects with covari- ates.