no code implementations • 9 Feb 2022 • Jonathan Libgober, Xiaosheng Mu
Under a simple transformation of the buyer's value distribution, the solution (in the gap case) is payoff-equivalent to a classic environment where the buyer knows her valuation at the beginning.
no code implementations • 18 Dec 2021 • Annie Liang, Jay Lu, Xiaosheng Mu
Whether it is optimal to ban an input generally depends on the designer's preferences.
no code implementations • 1 Feb 2021 • Xiaosheng Mu, Luciano Pomatto, Philipp Strack, Omer Tamuz
The expectation is an example of a descriptive statistic that is monotone with respect to stochastic dominance, and additive for sums of independent random variables.
no code implementations • 15 Oct 2020 • Xiaosheng Mu, Luciano Pomatto, Philipp Strack, Omer Tamuz
We show that under plausible levels of background risk, no theory of choice under risk -- such as expected utility theory, prospect theory, or rank dependent utility -- can simultaneously satisfy the following three economic postulates: (i) Decision makers are risk-averse over small gambles, (ii) they respect stochastic dominance, and (iii) they account for background risk.
no code implementations • 15 Oct 2019 • Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
An agent has access to multiple information sources, each of which provides information about a different attribute of an unknown state.
no code implementations • 21 May 2018 • Annie Liang, Xiaosheng Mu
We develop a model of social learning from overabundant information: Short-lived agents sequentially choose from a large set of (flexibly correlated) information sources for prediction of an unknown state.
no code implementations • 18 Mar 2017 • Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
We consider the problem of optimal dynamic information acquisition from many correlated information sources.