Faithin Omaha eBook Collection

Download or read book Essays in Information Economics written by Xiao Lin and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The dissertation comprises three papers in information economics that try to understand, respectively, how information is credibly disclosed, how information is robustly acquired, as well as how hard information is sold in the market by a third-party intermediary. The first chapter "Credible Persuasion," joint with Ce Liu, develops a new framework for understanding credibility considerations in Bayesian persuasion problems. We call a disclosure policy credible if the sender cannot profit from tampering with her messages while keeping the message distribution unchanged. We show that the credibility of a disclosure policy is equivalent to a cyclical monotonicity condition on its induced distribution over states and actions. We also characterize how credibility restricts the Sender's ability to persuade under different payoff structures. In particular, when the sender's payoff is state-independent, all disclosure policies are credible. We apply our results to the market for lemons, and show that no useful information can be credibly disclosed by the seller, even though a seller who can commit to her disclosure policy would perfectly reveal her private information to maximize profit. The second chapter "Robust Merging of Information," joint with Henrique de Oliveira and Yuhta Ishii, asks how people robustly combine different sources of information when the underlying correlation is unknown. Our main results characterize the strategies that are robust to possible hidden correlations. In particular, with two states and two actions, the robustly optimal strategy pays attention to a single information source, ignoring all others. More generally, the robustly optimal strategy may need to combine multiple information sources, but can be constructed quite simply by using a decomposition of the original problem into separate decision problems, each requiring attention to only one information source. An implication is that an information source generates value to the agent if and only if it is best for at least one of these decomposed problems. The third chapter "How to Sell Hard Information," joint with S. Nageeb Ali, Nima Haghpanah, and Ron Siegel, studies a setting where the seller of an asset has the option to buy hard information about the value of the asset from an intermediary. The seller can then disclose the acquired information before selling the asset in a competitive market. We study how the intermediary designs and sells hard information to robustly maximize her revenue across all equilibria. Even though the intermediary could use an accurate test that reveals the asset's value, we show that robust revenue maximization leads to a noisy test with a continuum of possible scores. In addition, the intermediary always charges the seller for disclosing the test score to the market, but not necessarily for running the test. This enables the intermediary to robustly appropriate a significant share of the surplus resulting from the asset sale.