How to segment a search market: Information design and directed search
研究了搜索市场中公开提供信息何时能改善福利，通过分割市场作为公共信号引导买家搜索，并分析了最大化剩余的分割设计。
This paper examines when the public provision of information in search markets improves welfare. I consider a two‐sided frictional search market in which buyers match with vertically differentiated sellers. The market is segmented into submarkets based on seller types. Such segmentation serves as a public signal that buyers use to direct their search. Given a segmentation, I characterize both the socially efficient and the equilibrium allocation of buyers across submarkets, and identify a Hosios‐type condition under which the equilibrium allocation is efficient. I then analyze the design of surplus‐maximizing segmentations, showing that the nature of search externalities determines when the constrained‐efficient segmentation fully separates seller types or pools them into at most a binary partition.