• Evolutionarily Stable (Mis)specifications: Theory and Applications

    with Kevin He (Last update: September 2023) Presented @ EC '21


    We introduce a selection criterion on behavioral biases in environments with learning, and show that it need not select for a bias-free worldview in some common applications.

    With a Grain of Salt: Uncertain Veracity of External News and Firm Disclosures

    with Beatrice Michaeli and Elyashiv Wiedman (Last update: August 2023)

    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

    Learning Underspecified Models

    with In-Koo Cho (Last Update: July 2023)

    We present an algorithm which, by positing linear demand, allows the monopolist to learn the optimal price even if demand is non-linear.

    Research Registries and the Credibility Crisis: An Empirical and Theoretical Investigation

    with Eliot Abrams and John A. List (Last update: July 2023)


    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.

    The Dynamics of Verification when Searching for Quality

    with Zihao Li (Last update: June 2023)

    In a principal-agent relationship where a project to be implemented is sought, and where transfers cannot be used but quality can be verified at a (sufficiently low) cost, the optimal mechanism features "increasing trust." This combines a deadline at which point allocation occurs with probability 1, and verification probabilities that decline over time.

    Retractions: Learning from Information about Information

    with Duarte Gonçalves and Jack Willis (Last update: February 2023) R&R @ Review of Economic Studies


    We conduct an experiment on belief updating and document that subjects under-react to information when it is in the form of a retraction.

    Identifying Wisdom (of the Crowd): A Regression Approach

    (Last update: January 2023) R&R @ Journal of Economic Theory


    I demonstrate how to recover a decisionmaker's information structure from posterior beliefs over states, together with posterior beliefs that each signal could be observed. In the process, I make new observations on the geometric structure of information.

    Coasian Dynamics under Informational Robustness

    with Xiaosheng Mu (Last update: January 2023) 


    We propose an approach to study informationally robust dynamic pricing when the seller lacks commitment.

    Familiarity Facilitates Adoption: Evidence from Electric Vehicles

    with Ruozi Song (Last update: November 2022) 

    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 explains it.