Multiproduct Nonlinear Pricing
研究多产品非线性定价问题，放松了私人信息为单变量的假设，发现企业会排除低价值消费者，并推导出可显式求解的一类情况，其中最优定价基于成本。
Typically, work on mechanism design has assumed that all private information can be captured in a single scalar variable. This paper explores one way in which this assumption can be relaxed in the context of the multiproduct nonlinear pricing problem. It is shown that the firm will choose to exclude some low value consumers from all markets. A class of cases that allow explicit solution is derived by making use of a multivariate form of integration by parts. In such cases the optimal tariff is cost-based.