25 citations · 32 across the 4 of their papers we have counts for
7 papers
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…
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations
Susan Athey, Guido Imbens, Jonas Metzger +1
When researchers develop new econometric methods it is common practice to compare the performance of the new methods to those of existing methods in Monte Carlo studies. The credib…
Ensemble Methods for Causal Effects in Panel Data Settings
Susan Athey, Mohsen Bayati, Guido Imbens +1
This paper studies a panel data setting where the goal is to estimate causal effects of an intervention by predicting the counterfactual values of outcomes for treated units, had t…
Machine Learning Methods Economists Should Know About
Susan Athey, Guido Imbens
We discuss the relevance of the recent Machine Learning (ML) literature for economics and econometrics. First we discuss the differences in goals, methods and settings between the…
Balanced Linear Contextual Bandits
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey +1
Contextual bandit algorithms are sensitive to the estimation method of the outcome model as well as the exploration method used, particularly in the presence of rich heterogeneity…
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption
Susan Athey, Guido Imbens
In this paper we study estimation of and inference for average treatment effects in a setting with panel data. We focus on the setting where units, e.g., individuals, firms, or sta…