Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and Their Consequences
Ruobin Gong, V. Joseph Hotz, and Ian M. Schmutte, Organizers
May 4-5, 2023
NBER 2nd Floor Conference Room, 1050 Massachusetts Ave., Cambridge, MA 02138
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Evan S. Totty, U.S. Census Bureau Thor Watson, U.S. Census Bureau Statistical Disclosure Limitation and Total Survey Error |
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| Thursday, May 4 | ||||
| 8:30 am | Continental Breakfast | |||
| 9:00 am | Welcome Remarks | |||
| 9:15 am | Using Privacy-Protected Data, Session 1 | |||
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Aaron Williams, Urban Institute Joshua Snoke, RAND Corporation Claire Bowen, Urban Institute Andrés F. Barrientos, Florida State University Disclosing Economists’ Privacy Perspectives: A Survey of American Economic Association Members on Differential Privacy and Data Fitness for Use Standards |
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Marcel Neunhoeffer, Institute for Employment Research Daniel Sheldon, University of Massachusetts Amherst Adam D. Smith, Boston University A Bootstrap-based General-purpose Approach for Statistical Inference with Differential Privacy |
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| 10:45 am | Break | |||
| 11:15 am | Strategies for Protecting Social Science Data | |||
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James Bailie, Harvard University Ruobin Gong, Rutgers University Xiao-Li Meng, Harvard University Can Swapping be Differentially Private? A Refreshment Stirred, not Shaken |
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Aleksandra Slavkovic, Pennsylvania State University Aratrika Mustafi, Pennsylvania State University Soumya Mukherjee, Pennsylvania State University Lars Vilhuber, Cornell University Assessing Utility of Differential Privacy for RCTs |
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| 12:45 pm | Lunch | |||
| 2:00 pm | Privacy Risk and Data Policy | |||
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Diana Qing, University of California, Berkeley Ryan Steed, Carnegie Mellon University Zhiwei Steven Wu, Carnegie Mellon University Quantifying Privacy Risks of Public Statistics to Residents of Subsidized Housing |
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Zeki R. Kazan, Duke University Jerome P. Reiter, Duke University Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy |
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Alison Aughinbaugh, US Bureau of Labor Statistics Keenan Dworak-Fisher, US Bureau of Labor Statistics Donna S. Rothstein, US Bureau of Labor Statistics Julie Yates, US Bureau of Labor Statistics Allocating Microdata from the National Longitudinal Survey of Youth Among Access Tiers: A Framework for Decision-Making and Initial Investigations |
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| 4:35 pm | Break | |||
| 5:00 pm | Statistical Disclosure Limitation Decision-Making: A Discussion | |||
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John M. Abowd, Cornell University and NBER An Economist's Guide to Statistical Disclosure Limitation Decision-making
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| 6:30 pm | Reception and Dinner | |||
| Friday, May 5 | ||||
| 8:00 am | Continental Breakfast | |||
| 8:30 am | Assessing Synthetic Data in Applied Research | |||
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Michael D. Carr, University of Massachusetts Boston Emily E. Wiemers, Syracuse University Robert A. Moffitt, Johns Hopkins University and NBER Using Synthetic Data to Estimate Earnings Dynamics: Evidence from the SIPP GSF and SIPP SSB |
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Jordan C. Stanley, US Census Bureau Evan S. Totty, U.S. Census Bureau A Penny Synthesized is a Penny Earned? An Exploratory Analysis of Accuracy in the SIPP Synthetic Beta |
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| 10:00 am | Break | |||
| 10:30 am | Using Privacy-Protected Data, Session 2 | |||
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Anish Agarwal, Massachusetts Institute of Technology Rahul Singh, Harvard Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy |
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Jung Sakong, Federal Reserve Bank of Chicago Alexander K. Zentefis, Yale University Estimating Gravity Models with High-Dimensional Fixed Effects On Privacy-Protected Data |
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| 12:00 pm | Lunch | |||
| 1:00 pm |
Remarks from the Editor-in-Chief of Harvard Data Science Review Xiao-Li Meng, Harvard University |
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| 1:15 pm | Privacy Preferences | |||
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Inbal Dekel, Hebrew University of Jerusalem Rachel Cummings, Columbia University Ori Heffetz, Cornell University and NBER Katrina Ligett, California Institute of Technology The Privacy Elasticity of Behavior: Conceptualization and Application |
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Tesary Lin, Boston University Avner Strulov-Shlain, University of Chicago Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data |
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| 2:45 pm | Break | |||
| 3:00 pm |
Wrap-Up Panel and Discussion John Friedman, Brown University David Johnson, Committee on National Statistics (CNSTAT) Charles Manski, Northwestern University Nathan Yoder, University of Georgia |
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| 4:00 pm | Closing Remarks | |||
| 4:15 pm | Adjourn | |||