Economics of Privacy

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behavior
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compliance
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costs and benefits
data economy
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regulatory economics
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Product details

  • ISBN 9780226834078
  • Weight: 513g
  • Dimensions: 152 x 229mm
  • Publication Date: 13 Aug 2024
  • Publisher: The University of Chicago Press
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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A foundational new collection examining the mechanics of privacy in the digital age.

The falling costs of collecting, storing, and processing data have allowed firms and governments to improve their products and services, but have also created databases with detailed individual-level data that raise privacy concerns. This volume summarizes the research on the economics of privacy and identifies open questions on the value of privacy, the roles of property rights and markets for privacy and data, the relationship between privacy and inequality, and the political economy of privacy regulation.

Several themes emerge across the chapters. One is that it may not be possible to solve privacy concerns by creating a market for the right to privacy, even if property rights are well-defined and transaction costs are low. Another is that it is difficult to measure and value the benefits of privacy, particularly when individuals have an intrinsic preference for privacy. Most previous attempts at valuation have focused only on quantifiable economic outcomes, such as innovation. Finally, defining privacy through an economic lens is challenging. The broader academic and legal literature includes many distinct definitions of privacy, and different definitions may be appropriate in different contexts. The chapters explore a variety of frameworks for examining these questions and provide a range of new perspectives on the role of economics research in understanding the benefits and costs of privacy and of data flows. As the digital economy continues to expand the scope of economic theory and research, The Economics of Privacy provides the most comprehensive survey to date of this field and its next steps.

Catherine E. Tucker is the Sloan Distinguished Professor of Management at MIT Sloan and a research associate of the NBER. Avi Goldfarb holds the Rotman Chair in Artificial Intelligence and Healthcare and is professor of marketing at the Rotman School of Management, University of Toronto, and a research associate of the NBER.