Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions
提出一种新的随机销售机制，买家可选择立即购买或参与随机拍卖，利用微软广告交易数据验证该机制相比最优二价拍卖能提升收入4.4%和消费者剩余14.5%。
Increasingly detailed consumer information makes sophisticated price discrimination possible. At fine levels of aggregation, demand may not obey standard regularity conditions. We propose a new randomized sales mechanism for such environments. Bidders can “buy-it-now” at a posted price, or “take-a-chance” in an auction where the top d > 1 bidders are equally likely to win. The randomized allocation incentivizes high-valuation bidders to buy-it-now. We analyze equilibrium behavior and apply our analysis to advertiser bidding data from Microsoft Advertising Exchange. In counterfactual simulations, our mechanism increases revenue by 4.4% and consumer surplus by 14.5% compared to an optimal second-price auction. This paper was accepted by Assaf Zeevi, stochastic models and simulation.