Misspecified Learning and Evolutionary Stability
with Kevin He (Last update: September 2024) R&R @ Journal of Economic Theory
We introduce a selection criterion on behavioral biases in environments with learning.
Results from this paper originally appeared in Evolutionarily Stable (Mis)specifications: Theory and Applications
Higher-Order Beliefs and (Mis)learning from Prices
with Kevin He (Last update: June 2024) R&R @ AEJ: Micro
If it is beneficial to misperceive higher-order beliefs when learning elasticity from prices, it is harmful when not learning.
Results from this paper originally appeared in Evolutionarily Stable (Mis)specifications: Theory and Applications
The Dynamics of Verification when Searching for Quality
with Zihao Li (Last update: March 2024) Presented @ EC' 24, R&R @ Review of Economic Studies
In a dynamic principal-agent project selection problem where transfers cannot be used and quality can be verified at a (sufficiently low) cost, optimal verification dynamics are characterized by "increasing trust."
Research Registries and the Credibility Crisis: An Empirical and Theoretical Investigation
with Eliot Abrams and John A. List (Last update: March 2025) Resubmitted @ The Economic Journal
We empirically study registries, focusing mostly (but not exclusively) on the AEA RCT Registry, and theoretically discuss issues related to incentives behind registration.
The Mathematica notebook which we used in our calibration exercise can be found here, while the Mathematica notebook that checks our monotonicity condition can be found here.
With a Grain of Salt: Uncertain Veracity of External News and Firm Disclosures
with Beatrice Michaeli and Elyashiv Wiedman (Last update: August 2023) Presented @ EC' 24, R&R @ Journal of Accounting and Economics
We study dynamic disclosure when an exogenous public signal may or may not reflect noise. This uncertainty creates an asymmetry in the market's interpretation of news; if equilibrium involves pre-emptive disclosure, prices may drop discontinuously as news improves
Incentivizing Forecasters to Learn: Summarized vs. Unrestricted Advice
with Yingkai Li (Last update: April 2025) Presented @ EC' 24
We characterize when a designer, seeking to induce an agent to acquire information over time and able to condition rewards on outcomes, should simply elicit a single report after acquiring information.
Electric Vehicle Sharing: Crowding Adoption Out or In?
with Ruozi Song (Last update: March 2025)
An Electric Vehicle (EV)-based ridesharing program in Los Angeles led to an increase in EV purchases, despite being a direct substitute to car ownership. We argue information externalities are responsible.
Sequentially Optimal Pricing under Informational Robustness
with Zihao Li and Xiaosheng Mu (Last update: June 2024) Presented @ SITE 2023
We propose an approach to study informationally robust dynamic pricing when the seller lacks commitment.
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