An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices

John Abowd () and Ian M. Schmutte

American Economic Review, 2019, vol. 109, issue 1, 171-202

Abstract: Statistical agencies face a dual mandate to publish accurate statistics while protecting respondent privacy. Increasing privacy protection requires decreased accuracy. Recognizing this as a resource allocation problem, we propose an economic solution: operate where the marginal cost of increasing privacy equals the marginal benefit. Our model of production, from computer science, assumes data are published using an efficient differentially private algorithm. Optimal choice weighs the demand for accurate statistics against the demand for privacy. Examples from U.S. statistical programs show how our framework can guide decision-making. Further progress requires a better understanding of willingness-to-pay for privacy and statistical accuracy.

JEL-codes: C38 C81 D83 (search for similar items in EconPapers)
Date: 2019
Note: DOI: 10.1257/aer.20170627
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Citations: View citations in EconPapers (44)

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Working Paper: An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices (2018)
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