Multidimensional Screening With Precise Seller Information
成果类型:
Article
署名作者:
Frick, Mira; Iijima, Ryota; Ishii, Yuhta
署名单位:
Princeton University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
刊物名称:
ECONOMETRICA
ISSN/ISSBN:
0012-9682
DOI:
10.3982/ECTA23622
发表日期:
2026
关键词:
Revenue maximization
mechanism design
GOODS
approximation
Robustness
monopoly
摘要:
A multi-product monopolist faces a buyer who is privately informed about his valuations for the goods. As is well known, optimal mechanisms are in general complicated, while simple mechanisms-such as pure bundling or separate sales-can be far from optimal and do not admit clear-cut comparisons. We show that this changes if the monopolist has sufficiently precise information about the buyer's valuations: Now, pure bundling always outperforms separate sales; moreover, there is a sense in which pure bundling performs essentially as well as the optimal mechanism. To formalize this, we characterize how fast the corresponding revenues converge to the first-best revenue as the monopolist's information grows precise: Pure bundling achieves the same convergence rate to the first-best as optimal mechanisms; in contrast, the convergence rate under separate sales is suboptimal.