Ruobin Gong, V. Joseph Hotz, and Ian M. Schmutte, Organizers
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Statistical Disclosure Limitation and Total Survey Error
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| Thursday, May 4 |
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8:30 am
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Continental Breakfast
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9:00 am
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Welcome Remarks
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9:15 am
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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
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Break
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11:15 am
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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
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Lunch
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2:00 pm
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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 (slides)
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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
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Break
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5:00 pm
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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
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Reception and Dinner
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| Friday, May 5 |
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8:00 am
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Continental Breakfast
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8:30 am
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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
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Break
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10:30 am
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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
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Lunch
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1:00 pm
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Remarks from the Editor-in-Chief of Harvard Data Science Review
Xiao-Li Meng, Harvard University
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1:15 pm
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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
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Break
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3:00 pm
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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
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Closing Remarks
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4:15 pm
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Adjourn
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