I am a Postdoctoral Researcher at the Leonard Davis Institute of Health Economics at the University of Pennsylvania. My research interests are the industrial organization of health markets and econometrics. I will join the Department of Economics at Cornell University as an Assistant Professor in Fall 2025.
I received my PhD in Economics from Princeton University in May 2024. My advisor was Kate Ho. Before starting graduate school, I received a BS in mathematics with a specialization in economics from the University of Chicago in 2017 and was a Stanford Law Empirical Research Fellow under John Donohue III between 2017 and 2018.
PhD in Economics, 2024
Princeton University
MS in Economics, 2020
Princeton University
BS in Mathematics with a Specialization in Economics, 2017
University of Chicago
We propose semiparametric average treatment effect (ATE) bounds estimators with novel robustness properties: double sharpness and double validity.
I show that Nash bargaining weights are unidentified in the presence of uncertainty over nontransferable utility frontiers and propose the Nash-in-Kalai model to enable identification and GMM estimation.
I quantify the impact of predictable increases in benchmark-linked prices between negotiations. There can be real effects in the presence of staggered contracting and time discounting. Using panel data on hospital–insurer contracts from West Virginia, I find both occur.
I show that even when the density of propensity scores may be unbounded near zero, t-statistics based on a thresholded Augmented IPW estimator can remain well-calibrated. I characterize the necessary conditions in terms of black-box rates and minimal smoothness orders (including new results for global regression rates) and use the conditions to propose rules of thumb for clipping or trimming rates.
I investigate vertical market contract dynamics by documenting and analyzing a novel panel dataset of hospital–insurer contracts in West Virginia. The largest insurer typically formed three- and five-year contracts. In contrast, smaller insurers generally formed long-lived contracts with faster price growth. By documenting a unique dataset and stark dynamic implications, this research contributes to a larger understanding of vertical market dynamics and helps set the stage for future work.
I study auto-renew share of charges contracts, which are associated with small insurers paying high prices to American hospitals. I demonstrate that under certain conditions, these contracts can lead to Pareto improvements. The key feature of these contracts is the renewal process, which enables the insurers to discipline hospital charges with the threat of contract termination and renegotiation.
In-person: Spring 2022 (Preceptor)
In-person: Spring 2021
In-person: Fall 2014-Spring 2015 (Tutor)