1.6k citations · 2.1k across the 53 of their papers we have counts for
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Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations
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. Such generaliza…
Multiple Randomization Designs: Estimation and Inference with Interference
Lorenzo Masoero, Suhas Vijaykumar, Thomas Richardson +5
Completely randomized experiments, originally developed by Fisher and Neyman in the 1930s, are still widely used in practice, even in online experimentation. However, such designs…
From Quantum Codes to Gravity: A Journey of Gravitizing Quantum Mechanics
ChunJun Cao
In this note, I review a recent approach to quantum gravity that "gravitizes" quantum mechanics by emerging geometry and gravity from complex quantum states. Drawing further insigh…
Semiparametric Estimation of Treatment Effects in Randomized Experiments
Susan Athey, Peter J. Bickel, Aiyou Chen +2
We develop new semiparametric methods for estimating treatment effects. We focus on settings where the outcome distributions may be thick tailed, where treatment effects may be sma…
Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models
Guido Imbens, Nathan Kallus, Xiaojie Mao
We develop a new approach for identifying and estimating average causal effects in panel data under a linear factor model with unmeasured confounders. Compared to other methods tac…
Design-Robust Two-Way-Fixed-Effects Regression For Panel Data
Dmitry Arkhangelsky, Guido W. Imbens, Lihua Lei +1
We propose a new estimator for average causal effects of a binary treatment with panel data in settings with general treatment patterns. Our approach augments the popular two-way-f…
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
Zhaonan Qu, Ruoxuan Xiong, Jizhou Liu +1
In many observational studies in social science and medicine, subjects or units are connected, and one unit's treatment and attributes may affect another's treatment and outcome, v…
A Design-Based Perspective on Synthetic Control Methods
Lea Bottmer, Guido Imbens, Jann Spiess +1
Since their introduction in Abadie and Gardeazabal (2003), Synthetic Control (SC) methods have quickly become one of the leading methods for estimating causal effects in observatio…