Privacy Preserving Signals

53 Pages Posted: 5 Jun 2023 Last revised: 26 Feb 2024

See all articles by Philipp Strack

Philipp Strack

Yale, Department of Economics

Kai Hao Yang

Yale School of Management

Date Written: August 19, 2024

Abstract

A signal is privacy-preserving with respect to a collection of privacy sets if the posterior probability assigned to every privacy set remains unchanged conditional on any signal realization. We characterize the privacy-preserving signals for arbitrary state space and arbitrary privacy sets. A signal is privacy-preserving if and only if it is a garbling of a reordered quantile signal. Furthermore, distributions of posterior means induced by privacy-preserving signals are exactly mean-preserving contractions of that induced by the quantile signal. We discuss the economic implications of our characterization for statistical discrimination, the revelation of sensitive information in auctions, and price discrimination.

Keywords: Privacy-preserving signal, privacy sets, independence, reordered quantile signal, protected characteristics JEL classification: C11, D63, D42, D83

JEL Classification: C11, D63, D42, D83

Suggested Citation

Strack, Philipp and Yang, Kai Hao, Privacy Preserving Signals (August 19, 2024). Available at SSRN: https://ssrn.com/abstract=4467608 or http://dx.doi.org/10.2139/ssrn.4467608

Philipp Strack (Contact Author)

Yale, Department of Economics ( email )

28 Hillhouse Ave
New Haven, CT 06520-8268
United States

Kai Hao Yang

Yale School of Management ( email )

165 Whitney Ave
New Haven, CT 06511

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