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Reproducibility and Transparency versus Privacy and Confidentiality: Reflections from a Data Editor

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  • Lars Vilhuber

Abstract

Transparency and reproducibility are often seen in opposition to privacy and confidentiality. Data that need to be kept confidential are seen as an impediment to reproducibility, and privacy would seem to inhibit transparency. I bring a more nuanced view to the discussion, and show, using examples from over 1,000 reproducibility assessments, that confidential data can very well be used in reproducible and transparent research. The key insight is that access to most confidential data, while tedious, is open to hundreds if not thousands of researchers. In cases where few researchers can consider accessing such data in the future, reproducibility services, such as those provided by some journals, can provide some evidence for effective reproducibility even when the same data may not be available for future research.

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  • Lars Vilhuber, 2023. "Reproducibility and Transparency versus Privacy and Confidentiality: Reflections from a Data Editor," Papers 2305.14478, arXiv.org.
  • Handle: RePEc:arx:papers:2305.14478
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    1. Lars Vilhuber, 2024. "Report of the AEA Data Editor," AEA Papers and Proceedings, American Economic Association, vol. 114, pages 878-890, May.
    2. Angela Zheng, 2022. "The Valuation of Local School Quality under School Choice," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 509-537, May.
    3. 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.
    4. Dominic Coey & Bradley J. Larsen & Brennan C. Platt, 2020. "Discounts and Deadlines in Consumer Search," American Economic Review, American Economic Association, vol. 110(12), pages 3748-3785, December.
    5. Benjamin A. Olken, 2015. "Promises and Perils of Pre-analysis Plans," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 61-80, Summer.
    6. Jordan Awan & Aleksandra Slavković, 2021. "Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(534), pages 935-954, April.
    7. Randi Hjalmarsson & Matthew J. Lindquist, 2022. "The Health Effects of Prison," American Economic Journal: Applied Economics, American Economic Association, vol. 14(4), pages 234-270, October.
    8. Anita Mukherjee, 2021. "Impacts of Private Prison Contracting on Inmate Time Served and Recidivism," American Economic Journal: Economic Policy, American Economic Association, vol. 13(2), pages 408-438, May.
    9. John M. Abowd & Ian M. Schmutte, 2019. "An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices," American Economic Review, American Economic Association, vol. 109(1), pages 171-202, January.
    10. Andrew Foote & Ashwin Machanavajjhala & Kevin McKinney, 2019. "Releasing Earnings Distributions using Differential Privacy: Disclosure Avoidance System For Post Secondary Employment Outcomes (PSEO)," Working Papers 19-13, Center for Economic Studies, U.S. Census Bureau.
    11. John M. Abowd & Ian M. Schmutte, 2015. "Economic Analysis and Statistical Disclosure Limitation," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 50(1 (Spring), pages 221-293.
    12. Magne Mogstad & Alexander Torgovitsky & Christopher R. Walters, 2021. "The Causal Interpretation of Two-Stage Least Squares with Multiple Instrumental Variables," American Economic Review, American Economic Association, vol. 111(11), pages 3663-3698, November.
    13. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2019. "A Distributional Framework for Matched Employer Employee Data," Econometrica, Econometric Society, vol. 87(3), pages 699-739, May.
    14. Daniel Weinberg & John Abowd & Sandra Rowland & Philip Steel & Laura Zayatz, 2007. "Access Methods for United States Microdata," Working Papers 07-25, Center for Economic Studies, U.S. Census Bureau.
    15. John M. Abowd & Ian M. Schmutte, 2015. "Economic Analysis and Statistical Disclosure Limitation," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(1 (Spring), pages 221-293.
    16. Jin Soo Han & Jean-François Houde & Arthur A. van Benthem & Jose Miguel Abito, 2021. "When Does Regulation Distort Costs? Lessons from Fuel Procurement in US Electricity Generation: Comment," American Economic Review, American Economic Association, vol. 111(4), pages 1356-1372, April.
    17. Abhishek Nagaraj & Esther Shears & Mathijs de Vaan, 2020. "Improving data access democratizes and diversifies science," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(38), pages 23490-23498, September.
    18. John M. Abowd & Bryce E. Stephens & Lars Vilhuber & Fredrik Andersson & Kevin L. McKinney & Marc Roemer & Simon Woodcock, 2009. "The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators," NBER Chapters, in: Producer Dynamics: New Evidence from Micro Data, pages 149-230, National Bureau of Economic Research, Inc.
    19. Leslie Jeng & Josh Lerner, 2016. "Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute," American Economic Review, American Economic Association, vol. 106(5), pages 157-160, May.
    20. Arthur Seibold, 2021. "Reference Points for Retirement Behavior: Evidence from German Pension Discontinuities," American Economic Review, American Economic Association, vol. 111(4), pages 1126-1165, April.
    21. 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.
    22. Paul Piveteau, 2021. "An Empirical Dynamic Model of Trade with Consumer Accumulation," American Economic Journal: Microeconomics, American Economic Association, vol. 13(4), pages 23-63, November.
    23. Steve Cicala, 2021. "When Does Regulation Distort Costs? Lessons from Fuel Procurement in US Electricity Generation: Reply," American Economic Review, American Economic Association, vol. 111(4), pages 1373-1381, April.
    24. Ivan Rudik, 2020. "Optimal Climate Policy When Damages Are Unknown," American Economic Journal: Economic Policy, American Economic Association, vol. 12(2), pages 340-373, May.
    25. Robert MacCoun & Saul Perlmutter, 2015. "Blind analysis: Hide results to seek the truth," Nature, Nature, vol. 526(7572), pages 187-189, October.
    26. John M. Abowd & Hampton Finer & Frances Kramarz, 1999. "Individual and Firm Heterogeneity in Compensation: An Analysis of Matched Longitudinal Employer-Employee Data for the State of Washington," Contributions to Economic Analysis, in: The Creation and Analysis of Employer-Employee Matched Data, pages 3-24, Emerald Group Publishing Limited.
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