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Fei Li

Researcher at University of North Carolina at Chapel Hill

Publications -  39
Citations -  298

Fei Li is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Dropout (neural networks) & Common value auction. The author has an hindex of 10, co-authored 36 publications receiving 245 citations. Previous affiliations of Fei Li include University of Pennsylvania.

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Journal ArticleDOI

On Bayesian Persuasion with Multiple Senders

TL;DR: In sequential persuasion games, the order of moves matters, and it is shown that adding a sender as a first mover and keeping the orderof moves fixed for the other senders cannot result in a loss of information.
Journal ArticleDOI

Revenue Management Without Commitment: Dynamic Pricing and Periodic Flash Sales

TL;DR: In this article, the authors consider the unique Markov perfect equilibrium, where the seller sporadically holds fire sales to lower the stock of goods, which increases future buyers' willingness to pay, but also lowers the willingness of buyers who arrive early in the game.
Journal ArticleDOI

On Bayesian persuasion with multiple senders

TL;DR: In this article, it was shown that adding a sender as a first mover and keeping the order of moves fixed for the other senders cannot result in a loss of information.
Journal ArticleDOI

Star Ratings and the Incentives of Mutual Funds

Chong Huang, +2 more
- 01 Jun 2020 - 
TL;DR: In this article, the authors propose a theory of reputation to explain how investors rationally respond to mutual fund star ratings, which determines fund flows and leads to discrete increases in flows and expected performance, although stars do not provide new information.
Journal ArticleDOI

Revenue Management without Commitment: Dynamic Pricing and Periodic Flash Sales

TL;DR: In this paper, the authors consider a Markov perfect equilibrium, where the seller sporadically holds flash sales to lower the stock of goods to increase the willingness to pay of future buyers, but decrease the willingness of buyers who arrive early in the game.