Search Results for author: Xinkun Nie

Found 5 papers, 3 papers with code

Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations

no code implementations9 Dec 2021 Xinkun Nie, Guido Imbens, Stefan Wager

The ability to generalize experimental results from randomized control trials (RCTs) across locations is crucial for informing policy decisions in targeted regions.

Nonparametric Heterogeneous Treatment Effect Estimation in Repeated Cross Sectional Designs

2 code implementations28 May 2019 Chen Lu, Xinkun Nie, Stefan Wager

Identifying heterogeneity in a population's response to a health or policy intervention is crucial for evaluating and informing policy decisions.

Methodology

Learning When-to-Treat Policies

1 code implementation23 May 2019 Xinkun Nie, Emma Brunskill, Stefan Wager

Many applied decision-making problems have a dynamic component: The policymaker needs not only to choose whom to treat, but also when to start which treatment.

Decision Making

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

2 code implementations13 Dec 2017 Xinkun Nie, Stefan Wager

We first estimate marginal effects and treatment propensities in order to form an objective function that isolates the causal component of the signal.

regression

Why Adaptively Collected Data Have Negative Bias and How to Correct for It

no code implementations7 Aug 2017 Xinkun Nie, Xiaoying Tian, Jonathan Taylor, James Zou

In this paper, we prove that when the data collection procedure satisfies natural conditions, then sample means of the data have systematic \emph{negative} biases.

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