Retractions: Updating from Complex Information
(with Duarte Gonçalves and Jack Willis)
Review of Economic Studies, Accepted
We conduct an experiment on belief updating and document that subjects underreact to information when it is in the form of a retraction.
We argue retractions — the provision of indirect information — are treated as more complex than equivalent direct information
Identifying Wisdom (of the Crowd): A Regression Approach
Journal of Political Economy: Microeconomics, Forthcoming
Blackwell experiments can be determined via a regression procedure. Priors solve an eigenvector equation derived from this procedure.
The findings are relevant to the crowd wisdom problem, and have implications for the geometric structure of information.
Iterative Weak Learnability and Multiclass AdaBoost
(with In-Koo Cho and Cheng Ding)
Proc. of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024, 466-477
We propose a procedure for multi-label classification problems based on iteratively eliminating worst-performing labels.
We identify desireable theoretical properties of our procedure and illustrate its practical performance.
False Positives and Transparency
American Economic Journal: Microeconomics, 2022, 14(2): 478-505.
Lack of transparency over research methods can induce bias. But the incentive to de-bias may lead to more informative experiments.
The model introduced is one of costly communication with partial (sender) commitment.
Informational Robustness in Intertemporal Pricing
(with Xiaosheng Mu)
Review of Economic Studies, 2021, 88(3): 1224-1252.
Constant price paths deliver the optimal profit guarantee when a seller does not know how buyers learn about a product.
Formally, this paper introduces an informationally robust approach into the dynamic pricing literature.
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