This paper examines the role of rational attention allocation in shaping private information acquisition, and its implications for price informativeness and real outcomes. Our setting exploits the listing of options on a stock as a source of variation in the relative value of acquiring...

We investigate the optimal Bayesian dynamic pricing and demand learning policy over short selling horizons, where the pricing decisions are time-sensitive. The seller fine-tunes the price near an incumbent price in order to maximize the total revenue. The existing literature focuses on policies...

Biodiversity is being lost at an unprecedented and accelerating rate. A pressing issue is how to improve the effectiveness of conservation with limited information and resources available. We develop a Bayes-adaptive POMDP framework to optimize the learning and management of threatened species...