F
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.
Papers
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Journal ArticleDOI
On Bayesian Persuasion with Multiple Senders
Fei Li,Peter Norman +1 more
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
Francesc Dilme,Fei Li +1 more
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
Fei Li,Peter Norman +1 more
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,Fei Li,Xi Weng +2 more
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
Francesc Dilme,Fei Li +1 more
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.