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05/01/2023
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
Motivated by a recent literature on the double-descent phenomenon in mac...
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08/20/2022
Rationalizing Pre-Analysis Plans: Statistical Decisions Subject to Implementability
Pre-analysis plans (PAPs) are a potential remedy to the publication of s...
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08/16/2022
Algorithmic Assistance with Recommendation-Dependent Preferences
When we use algorithms to produce recommendations, we typically think of...
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12/01/2021
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
We investigate the optimal design of experimental studies that have pre-...
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10/28/2021
On the Fairness of Machine-Assisted Human Decisions
When machine-learning algorithms are deployed in high-stakes decisions, ...
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10/05/2021
Unpacking the Black Box: Regulating Algorithmic Decisions
We characterize optimal oversight of algorithms in a world where an agen...
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08/08/2021
Improving Inference from Simple Instruments through Compliance Estimation
Instrumental variables (IV) regression is widely used to estimate causal...
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03/12/2021
Evidence-Based Policy Learning
The past years have seen seen the development and deployment of machine-...
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01/23/2021
A Design-Based Perspective on Synthetic Control Methods
Since their introduction in Abadie and Gardeazabal (2003), Synthetic Con...
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07/05/2017
