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Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and Their Consequences
Organized by Ruobin Gong, V. Joseph Hotz, and Ian M. Schmutte Supported by the Alfred P. Sloan Foundation May 4-5, 2023 NBER 2nd Floor Conference Room, 1050 Massachusetts Ave., Cambridge, MA 02138 |
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Statistical Disclosure Limitation and Total Survey Error |
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| Thursday, May 4 | |
| 8:30 am |
Continental Breakfast
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| 9:00 am |
Welcome Remarks
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| 9:15 am |
Using Privacy-Protected Data, Session 1
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Disclosing Economists’ Privacy Perspectives: A Survey of American Economic Association Members on Differential Privacy and Data Fitness for Use Standards |
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A Bootstrap-based General-purpose Approach for Statistical Inference with Differential Privacy |
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| 10:45 am |
Break
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| 11:15 am |
Strategies for Protecting Social Science Data
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Can Swapping be Differentially Private? A Refreshment Stirred, not Shaken |
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Assessing Utility of Differential Privacy for RCTs |
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| 12:45 pm |
Lunch
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| 2:00 pm |
Privacy Risk and Data Policy
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Quantifying Privacy Risks of Public Statistics to Residents of Subsidized Housing |
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Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy |
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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
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| 5:00 pm |
Statistical Disclosure Limitation Decision-Making: A Discussion
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An Economist's Guide to Statistical Disclosure Limitation Decision-making
Discussants:
Xiao-Li Meng, Harvard University Robert A. Moffitt, Johns Hopkins University and NBER |
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| 6:30 pm |
Reception and Dinner
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| Friday, May 5 | |
| 8:00 am |
Continental Breakfast
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| 8:30 am |
Assessing Synthetic Data in Applied Research
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Using Synthetic Data to Estimate Earnings Dynamics: Evidence from the SIPP GSF and SIPP SSB |
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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
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| 10:30 am |
Using Privacy-Protected Data, Session 2
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Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy |
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Estimating Gravity Models with High-Dimensional Fixed Effects On Privacy-Protected Data |
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| 12:00 pm |
Lunch
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| 1:00 pm |
Remarks from the Editor-in-Chief of Harvard Data Science Review
Xiao-Li Meng, Harvard University |
| 1:15 pm |
Privacy Preferences
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The Privacy Elasticity of Behavior: Conceptualization and Application |
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Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data |
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| 2:45 pm |
Break
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| 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 |
| 4:00 pm |
Closing Remarks
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| 4:15 pm |
Adjourn
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