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

Citations

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Cited by:

  1. Kazutoshi Kan, 2023. "Seeking the Ideal Privacy Protection: Strengths and Limitations of Differential Privacy," IMES Discussion Paper Series 23-E-02, Institute for Monetary and Economic Studies, Bank of Japan.
  2. Michler, Jeffrey D. & Josephson, Anna & Kilic, Talip & Murray, Siobhan, 2022. "Privacy protection, measurement error, and the integration of remote sensing and socioeconomic survey data," Journal of Development Economics, Elsevier, vol. 158(C).
  3. John M. Abowd & Ian M. Schmutte & William Sexton & Lars Vilhuber, 2019. "Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods," Papers 1906.09353, arXiv.org.
  4. Raj Chetty & John N. Friedman, 2019. "A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 414-420, May.
  5. Ian M. Schmutte & Nathan Yoder, 2022. "Information Design for Differential Privacy," Papers 2202.05452, arXiv.org, revised Dec 2022.
  6. Ron S. Jarmin & John M. Abowd & Robert Ashmead & Ryan Cumings-Menon & Nathan Goldschlag & Michael B. Hawes & Sallie Ann Keller & Daniel Kifer & Philip Leclerc & Jerome P. Reiter & Rolando A. Rodrígue, 2023. "An in-depth examination of requirements for disclosure risk assessment," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 120(43), pages 2220558120-, October.
  7. Guy Aridor & Yeon-Koo Che & Tobias Salz, 2020. "The Effect of Privacy Regulation on the Data Industry: Empirical Evidence from GDPR," NBER Working Papers 26900, National Bureau of Economic Research, Inc.
  8. Vilhuber, Lars, 2023. "Reproducibility and transparency versus privacy and confidentiality: Reflections from a data editor," Journal of Econometrics, Elsevier, vol. 235(2), pages 2285-2294.
  9. Joel Slemrod, 2024. "What taxpayers, governments and tax economists do – and what they should do," Fiscal Studies, John Wiley & Sons, vol. 45(1), pages 7-19, March.
  10. E. Mark Curtis & Daniel G. Garrett & Eric C. Ohrn & Kevin A. Roberts & Juan Carlos Suárez Serrato, 2021. "Capital Investment and Labor Demand," NBER Working Papers 29485, National Bureau of Economic Research, Inc.
  11. Craig Wesley Carpenter & Anders Van Sandt & Scott Loveridge, 2022. "Measurement error in US regional economic data," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 57-80, January.
  12. Charles I. Jones & Christopher Tonetti, 2020. "Nonrivalry and the Economics of Data," American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
  13. J. Tom Mueller & Alexis R. Santos-Lozada, 2022. "The 2020 US Census Differential Privacy Method Introduces Disproportionate Discrepancies for Rural and Non-White Populations," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(4), pages 1417-1430, August.
  14. Ronen Gradwohl & Rann Smorodinsky, 2021. "Privacy, Patience, and Protection," Dynamic Games and Applications, Springer, vol. 11(4), pages 759-784, December.
  15. Rod Garratt & Maarten van Oordt, 2019. "Systemic Privacy as a Public Good: A Case for Electronic Cash," Staff Working Papers 19-24, Bank of Canada.
  16. John Mullahy, 2022. "Investigating health-related time use with partially observed data," Review of Economics of the Household, Springer, vol. 20(1), pages 103-121, March.
  17. Robertas Damasevicius, 2023. "Progress, Evolving Paradigms and Recent Trends in Economic Analysis," Financial Economics Letters, Anser Press, vol. 2(2), pages 35-47, October.
  18. Braathen, Christian & Thorsen, Inge & Ubøe, Jan, 2022. "Adjusting for Cell Suppression in Commuting Trip Data," Discussion Papers 2022/13, Norwegian School of Economics, Department of Business and Management Science.
  19. Rehse, Dominik & Tremöhlen, Felix, 2022. "Fostering participation in digital contact tracing," Information Economics and Policy, Elsevier, vol. 58(C).
  20. John M. Abowd & Ian M. Schmutte & William N. Sexton & Lars Vilhuber, 2019. "Why the Economics Profession Must Actively Participate in the Privacy Protection Debate," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 397-402, May.
  21. Katharine G. Abraham & Ron S. Jarmin & Brian C. Moyer & Matthew D. Shapiro, 2020. "Introduction: Big Data for Twenty-First-Century Economic Statistics: The Future Is Now," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 1-22, National Bureau of Economic Research, Inc.
  22. John Mullahy, 2019. "Identification of a Class of Health-Outcome Distributions under a Common Form of Partial Data Observability," NBER Working Papers 26011, National Bureau of Economic Research, Inc.
  23. Alessandro Acquisti, 2023. "The Economics of Privacy at a Crossroads," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
  24. Yosuke Uno & Akira Sonoda & Masaki Bessho, 2021. "The Economics of Privacy: A Primer Especially for Policymakers," Bank of Japan Working Paper Series 21-E-11, Bank of Japan.
  25. Polanec Sašo & Bavdaž Mojca & Smith Paul A., 2022. "Determination of the Threshold in Cutoff Sampling Using Response Burden with an Application to Intrastat," Journal of Official Statistics, Sciendo, vol. 38(4), pages 1205-1234, December.
  26. John M. Abowd & Robert Ashmead & Ryan Cumings-Menon & Simson Garfinkel & Micah Heineck & Christine Heiss & Robert Johns & Daniel Kifer & Philip Leclerc & Ashwin Machanavajjhala & Brett Moran & William, 2022. "The 2020 Census Disclosure Avoidance System TopDown Algorithm," Papers 2204.08986, arXiv.org.
  27. Guha, Abhijit & Grewal, Dhruv & Kopalle, Praveen K. & Haenlein, Michael & Schneider, Matthew J. & Jung, Hyunseok & Moustafa, Rida & Hegde, Dinesh R. & Hawkins, Gary, 2021. "How artificial intelligence will affect the future of retailing," Journal of Retailing, Elsevier, vol. 97(1), pages 28-41.
  28. Heng Xu & Nan Zhang, 2022. "Implications of Data Anonymization on the Statistical Evidence of Disparity," Management Science, INFORMS, vol. 68(4), pages 2600-2618, April.
  29. Binswanger, Johannes & Oechslin, Manuel, 2020. "Better statistics, better economic policies?," European Economic Review, Elsevier, vol. 130(C).
  30. Itay P. Fainmesser & Andrea Galeotti & Ruslan Momot, 2023. "Digital Privacy," Management Science, INFORMS, vol. 69(6), pages 3157-3173, June.
  31. Mateusz Mysliwski & Lars Nesheim & Simeon Duckworth, 2023. "Taking the biscuit: how Safari privacy policies affect online advertising," CeMMAP working papers 04/23, Institute for Fiscal Studies.
  32. Rehse, Dominik & Tremöhlen, Felix, 2020. "Fostering participation in digital public health interventions: The case of digital contact tracing," ZEW Discussion Papers 20-076, ZEW - Leibniz Centre for European Economic Research.
  33. Giuseppe Di Vita, 2023. "The economic impact of legislative complexity and corruption: A cross‐country analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1801-1825, April.
  34. Amalia R. Miller, 2023. "Privacy of Digital Health Information," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
  35. Byun, Junyoung & Ko, Hyungjin & Lee, Jaewook, 2023. "A Privacy-preserving mean–variance optimal portfolio," Finance Research Letters, Elsevier, vol. 54(C).
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