Browse or search publications from faculty affiliated with the lab.
Counterfactual Inference for Consumer Choice Across Many Product Categories
This paper proposes a method for estimating consumer preferences among discrete choices, where the consumer chooses at most one product in a…
Estimating Experienced Racial Segregation in U.S. Cities Using Large-Scale GPS Data
We estimate a measure of segregation, experienced isolation, that captures individuals’ exposure to diverse others in the places they visit over…
Semiparametric Estimation of Treatment Effects in Randomized Experiments
We develop new semiparametric methods for estimating treatment effects. We focus on a setting where the outcome distributions may be thick tailed…
Shared Decision-Making: Can Improved Counseling Increase Willingness to Pay for Modern Contraceptives?
Long-acting reversible contraceptives are highly effective in preventing unintended pregnancies, but take-up remains low. This paper analyzes a…
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
It has become increasingly common for data to be collected adaptively, for example using contextual bandits. Historical data of this type can be…
Ten Rules for Conducting Retrospective Pharmacoepidemiological Analyses: Example COVID-19 Study
Since the beginning of the COVID-19 pandemic, pharmaceutical treatment hypotheses have abounded, each requiring careful evaluation. A randomized…
Breiman’s Two Cultures: A Perspective from Econometrics
Breiman’s “Two Cultures” paper painted a picture of two disciplines, data modeling, and algorithmic machine learning, both engaged in the analyses…
Alpha-1 Adrenergic Receptor Antagonists to Prevent Hyperinflammation and Death from Lower Respiratory Tract Infection
In severe viral pneumonia, including Coronavirus disease 2019 (COVID-19), the viral replication phase is often followed by hyperinflammation,…
Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles
We study the problem of model selection for contextual bandits, in which the algorithm must balance the bias-variance trade-off for model…
Integrating Explanation and Prediction in Computational Social Science
Computational social science is more than just large repositories of digital data and the computational methods needed to construct and analyze…
Design-based Analysis in Difference-in-Differences Settings with Staggered Adoption
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…
Confidence Intervals for Policy Evaluation in Adaptive Experiments
Adaptive experiment designs can dramatically improve statistical efficiency in randomized trials, but they also complicate statistical inference.…
Tractable Contextual Bandits Beyond Realizability
Tractable contextual bandit algorithms often rely on the realizability assumption — i.e., that the true expected reward model belongs to a known…
The Association between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality from COVID-19
Effective therapies for coronavirus disease 2019 (COVID-19) are urgently needed, and pre-clinical data suggest alpha-1 adrenergic receptor…
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations
When researchers develop new econometric methods it is common practice to compare the performance of the new methods to those of existing methods…
Practitioner’s Guide: Designing Adaptive Experiments
Adaptive experiments present a unique opportunity to more rapidly learn which of many treatments work best, evaluate multiple hypotheses, and…
Market Design to Accelerate COVID-19 Vaccine Supply
Each month, COVID-19 kills hundreds of thousands of people, reduces global gross domestic product (GDP) by hundreds of billions of dollars, and…
Uncovering Interpretable Potential Confounders in Electronic Medical Records
In medicine, randomized clinical trials are the gold standard for informing treatment decisions. Observational comparative effectiveness research…
Association of α1-Blocker Receipt With 30-Day Mortality and Risk of Intensive Care Unit Admission Among Adults Hospitalized With Influenza or Pneumonia in Denmark
Alpha 1–adrenergic receptor blocking agents (α1-blockers) have been reported to have protective benefits against hyperinflammation and cytokine…
Preparing for a Pandemic: Accelerating Vaccine Availability
Vaccinating the world’s population quickly in a pandemic has enormous health and economic benefits. We analyze the problem faced by governments in…
Policy Learning with Observational Data
In many areas, practitioners seek to use observational data to learn a treatment assignment policy that satisfies application-specific…
Adapting to Misspecification in Contextual Bandits with Offline Regression Oracles
Computationally efficient contextual bandits are often based on estimating a predictive model of rewards given contexts and arms using past data.…
Local Linear Forests
Random forests are a powerful method for non-parametric regression, but are limited in their ability to fit smooth signals. Taking the perspective…
Preparing for a Pandemic: Accelerating Vaccine Availability
Vaccinating the world’s population quickly in a pandemic has enormous health and economic benefits. We analyze the problem faced by governments in…