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

Citations

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Cited by:

  1. 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).
  2. Ian M. Schmutte & Nathan Yoder, 2022. "Information Design for Differential Privacy," Papers 2202.05452, arXiv.org, revised Jul 2024.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. Ronen Gradwohl & Rann Smorodinsky, 2021. "Privacy, Patience, and Protection," Dynamic Games and Applications, Springer, vol. 11(4), pages 759-784, December.
  8. 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.
  9. Jörg Drechsler & James Bailie, 2026. "The Complexities of Differential Privacy for Survey Data," NBER Chapters, in: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and New Findings, National Bureau of Economic Research, Inc.
  10. 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.
  11. 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.
  12. Inbal Dekel & Rachel Cummings & Ori Heffetz & Katrina Ligett, 2026. "Privacy Elasticity: Modeling Responses to Quantifiable Privacy Changes," NBER Chapters, in: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and New Findings, National Bureau of Economic Research, Inc.
  13. repec:nbr:nberch:14785 is not listed on IDEAS
  14. 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.
  15. 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.
  16. 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.
  17. Binswanger, Johannes & Oechslin, Manuel, 2020. "Better statistics, better economic policies?," European Economic Review, Elsevier, vol. 130(C).
  18. 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.
  19. 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.
  20. Chemaya, Nir & Liu, Dingyue, 2024. "The suitability of using Uniswap V2 model to analyze V3 data," Finance Research Letters, Elsevier, vol. 59(C).
  21. 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.
  22. Ko, Hyungjin & Byun, Junyoung & Lee, Jaewook, 2023. "A privacy-preserving robo-advisory system with the Black-Litterman portfolio model: A new framework and insights into investor behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
  23. Wang, Minda & Li, Jianbiao & Niu, Xiaofei & Wang, Wenhua, 2025. "Disclosing personal information on behalf of others: An experimental study," China Economic Review, Elsevier, vol. 91(C).
  24. 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.
  25. 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.
  26. 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.
  27. Robertas Damasevicius, 2023. "Progress, Evolving Paradigms and Recent Trends in Economic Analysis," Financial Economics Letters, Anser Press, vol. 2(2), pages 35-47, October.
  28. Rehse, Dominik & Tremöhlen, Felix, 2022. "Fostering participation in digital contact tracing," Information Economics and Policy, Elsevier, vol. 58(C).
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. Polanec Sašo & Smith Paul A. & Bavdaž Mojca, 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.
  34. Zhang Xu & Wei Zhao, 2025. "Privacy Structure and Blackwell Frontier," Papers 2511.10226, arXiv.org.
  35. 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.
  36. Jordan C. Stanley & Evan S. Totty, 2026. "Synthetic Data and Social Science Research: Accuracy Assessments and Practical Considerations from the SIPP Synthetic Beta," NBER Chapters, in: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and New Findings, National Bureau of Economic Research, Inc.
  37. Tanzeela Nisa, 2024. "SmartTutor: Ensuring User Privacy in Distance Education with AI-Driven Tutoring and Multilingual Knowledge Retrieval," International Journal of Innovations in Science & Technology, 50sea, vol. 6(7), pages 158-171, October.
  38. 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.
  39. Itay P. Fainmesser & Andrea Galeotti & Ruslan Momot, 2023. "Digital Privacy," Management Science, INFORMS, vol. 69(6), pages 3157-3173, June.
  40. 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.
  41. 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.
  42. Michela Chessa & Patrick Loiseau, 2024. "Enhancing voluntary contributions in a public goods economy via a minimum individual contribution level," Public Choice, Springer, vol. 201(1), pages 237-261, October.
  43. Chen, Hongze & Li, Conggang & Liu, Jiatao & Xu, Rong, 2025. "Navigating digital frontiers: The impact of China's cybersecurity law on corporate digital innovation," International Review of Financial Analysis, Elsevier, vol. 103(C).
  44. Amalia R. Miller, 2023. "Privacy of Digital Health Information," NBER Chapters, in: The Economics of Privacy, pages 127-161, National Bureau of Economic Research, Inc.
  45. 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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