1.6k citations · 1.9k across the 35 of their papers we have counts for
7 papers · 1 filter
Optimal Experimental Design for Staggered Rollouts
Ruoxuan Xiong, Susan Athey, Mohsen Bayati +1
In this paper, we study the design and analysis of experiments conducted on a set of units over multiple time periods where the starting time of the treatment may vary by unit. The…
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…
Sufficient Representations for Categorical Variables
Jonathan Johannemann, Vitor Hadad, Susan Athey +1
Many learning algorithms require categorical data to be transformed into real vectors before it can be used as input. Often, categorical variables are encoded as one-hot (or dummy)…
Counterfactual Inference for Consumer Choice Across Many Product Categories
Rob Donnelly, Francisco R. Ruiz, David Blei +1
This paper proposes a method for estimating consumer preferences among discrete choices, where the consumer chooses at most one product in a category, but selects from multiple cat…
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…