Revenue Maximization Under Two-Dimensional Buyers with Type Uncertainty Using Dynamic Mechanism Design

Chaitanya Kaligotla
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Abstract

I study a decision problem to maximize seller revenue under a two-dimensional buyer with multiple type space with private information. I consider the general case of a single seller with a single good to sell to buyers with private attribute values arriving over 2 time periods. The seller's problem is to determine the optimal time period of allocation. I use mechanism design theory to find an optimal policy for the seller and investigate structural conditions for the optimal seller policy. This paper aims to show that there are tractable and relatively simple ways to deal with multidimensional type space in Revenue Management problems through the application of mechanism design.
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基于动态机制设计的二维买家类型不确定下的收益最大化
研究了一个具有私有信息的二维多类型买方空间下卖方收益最大化的决策问题。我考虑的一般情况是,一个卖家将一件商品卖给两个时间段内到达的带有私有属性值的买家。卖方的问题是确定最优的分配时间。运用机制设计理论寻找卖方的最优策略,并研究卖方最优策略的结构条件。本文旨在通过机制设计的应用,说明在收益管理问题中存在易于处理且相对简单的方法来处理多维类型空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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