no code implementations • 9 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.
2 code implementations • 28 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
1 code implementation • 23 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.
2 code implementations • 13 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.
no code implementations • 7 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.