Private Private Information

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Tác giả: Kevin He, Fedor Sandomirskiy, Omer Tamuz

Ngôn ngữ: eng

Ký hiệu phân loại: 018.2 +Catalogs arranged by author, main entry, date, or register number

Thông tin xuất bản: 2021

Mô tả vật lý:

Bộ sưu tập: Metadata

ID: 168461

Private signals model noisy information about an unknown state. Although these signals are called "private," they may still carry information about each other. Our paper introduces the concept of private private signals, which contain information about the state but not about other signals. To achieve privacy, signal quality may need to be sacrificed. We study the informativeness of private private signals and characterize those that are optimal in the sense that they cannot be made more informative without violating privacy. We discuss implications for privacy in recommendation systems, information design, causal inference, and mechanism design.
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