With a Grain of Salt: Uncertain Relevance of External Information and Firm Disclosures
with Beatrice Michaeli and Elyashiv Wiedman (Last update: May 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
The Dynamics of Verification when Searching for Quality
with Zihao Li (Last update: April 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.
Research Registries and the Credibility Crisis: An Empirical and Theoretical Investigation
with Eliot Abrams and John A. List (Last update: February 2023) Resubmitted @ JEEA
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.
Retractions: Learning from Information about Information
with Duarte Gonçalves and Jack Willis (Last update: February 2023)
We conduct an experiment on belief updating and document that subjects under-react to information when it is in the form of a retraction.
Evolutionarily Stable (Mis)specifications: Theory and Applications
with Kevin He (Last update: February 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.
Identifying Wisdom (of the Crowd): A Regression Approach
(Last update: January 2023) Resubmitted @ JET
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.
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