On the Benefit (Or Cost) of Large‐Scale Bundling
研究了在边际成本非负且估值相关时，简单纯捆绑机制相对于混合捆绑等复杂机制提取消费者剩余的效率，并开发了量化其潜在利润的简单分析方法。
Simple selling mechanisms are very appealing in practice, yet they may limit the firm’s ability to extract a large consumer surplus. In this paper, we study the efficiency of a simple pure bundling mechanism in extracting the consumer surplus in the presence of nonnegative marginal costs and correlated valuations. The main question we address is how to quantify the benefits of adopting a simple pure bundling mechanism relative to other more complicated mechanisms, such as mixed bundling. We develop simple robust analytics that identify the main drivers for the efficiency of the pure bundling mechanism and allow the sellers to easily quantify the potential profit of a large‐scale bundling mechanism relative to more complicated selling mechanisms. Our numerical simulations show that these analytics provide high predictive power for the true performance of the bundling mechanism and are robust to different parametric assumptions even for relatively small bundles. For example, for a bundle of 1200 and 12,000 items, the medians of the prediction error of our tight bound are −0.021 and 0.041 while the interquartile ranges are 0.094 and 0.067, respectively.