Del i serien National Bureau of Economic Research Conference Report

Data Privacy Protection and the Conduct of Applied Research

Methods, Approaches, and New Findings

Inbunden, Engelska, 2026

AvV. Joseph Hotz,Ruobin Gong,Ian M. Schmutte

2 179 kr

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A necessary exploration into the mechanics of data privacy protections within empirical social science research.The explosion of computational power and data availability has revolutionized empirical social science research, but it has also created unprecedented challenges for protecting the privacy of individuals and businesses. As computational tools make it increasingly possible to breach data anonymity in government surveys by combining the survey data with additional information from external sources, statistical agencies face mounting pressure to develop new privacy protection methods while maintaining data quality essential for research and policymaking. This volume explores how innovations in data privacy protection, including differential privacy and synthetic data methods, affect the conduct of empirical analysis in economics, computer science, and statistics. Contributors explore critical questions about the trade-offs between privacy and data usability: How do new protection methods impact statistical inference and parameter estimation? What standards should data providers adopt? The chapters examine frameworks for characterizing privacy protection, disclosure limitation challenges for survey data, methodological innovations for privacy-preserving statistical analysis, regulatory considerations in modern data governance, and strategies for balancing confidentiality with research access.This volume provides researchers, statistical agencies, and policymakers with essential guidance for navigating the complex landscape where data protection meets scientific inquiry.

Produktinformation

Utgivningsdatum2026-11-09
Mått152 x 229 x undefined mm
Vikt454 g
FormatInbunden
SpråkEngelska
SerieNational Bureau of Economic Research Conference Report
Antal sidor288
FörlagThe University of Chicago Press
ISBN9780226851525

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Ruobin Gong is an associate professor of statistics at Rutgers University. V. Joseph Hotz is research professor at the Harris School of Public Policy at the University of Chicago, Arts and Sciences Distinguished Professor Emeritus of Economics & Public Policy at Duke University, and a research associate of the NBER. Ian M. Schmutte is a principal economist with People eXperience & Technology at Amazon, having previously served as professor of economics at the Terry College of Business at the University of Georgia.

Acknowledgments IntroductionV. Joseph Hotz and Ruobin Gong I. Data Privacy Protection: New Frameworks and Standards1. A Secure Query System to Improve Access to Individual Income Tax DataAmy O’Hara, Stephanie Straus, Ron Borzekowski, Paul Arnsberger, and Barry Johnson2. The Case for Researching Applied Privacy-Enhancing TechnologiesClaire McKay Bowen, Joshua Snoke, Aaron R. Williams, and Andrés F. Barrientos3. Using Containers for Analysis Validation at ScaleLars Vilhuber4. Differential Privacy Meets Invariant Statistics: Some Conundrums in Quantifying Trade-OffsJames Bailie, Ruobin Gong, and Xiao-Li Meng II. Privacy Protection in Survey Research5. The Complexities of Differential Privacy for Survey DataJörg Drechsler and James Bailie6. Differentially Private Population Quantity Estimates via Survey Weight RegularizationJeremy Seeman, Yajuan Si, and Jerome P. Reiter7. Synthetic Data and Social Science Research: Accuracy Assessments and Practical Considerations from the SIPP Synthetic BetaJordan Stanley and Evan S. Totty8. Considerations for Developing Disclosure Avoidance Systems for Longitudinal Survey DataV. Joseph Hotz and Trivellore Raghunathan III. Privacy-Preserving Data Analysis9. Improving Privacy for Respondents in Randomized Controlled Trials: A Differential Privacy ApproachSoumya Mukherjee, Aratrika Mustafi, Aleksandra Slavković, and Lars Vilhuber10. A Simulation-Based Method to Estimating Economic Models with Privacy-Protected DataJung Sakong and Alexander K. Zentefis11. Data Privacy for Record Linkage and BeyondShurong Lin and Eric D. Kolaczyk IV. Privacy Policy and Data Governance12. The Realities of Disclosure Risks in the Age of Dark Patterns and Big DataRamon Abraham A. Sarmiento13. Effective Regulation and Firm Compliance: The Case of German Privacy PoliciesJacopo Gambato, Bernhard Ganglmair, and Julia Krämer14. Navigating the Privacy Landscape: Harmonizing Legislative and Public Sector Approaches in the Canadian ContextPierre Desrochers and Eric Rancourt V. Balancing Data Privacy and Data Usability15. Privacy Protection and Accuracy: What Do We Know? Do We Know Things?? Let’s Find Out!Evan S. Totty and Thor Watson16. The Importance of Confidential Microdata for Economic ResearchAbhishek Nagaraj, Fernando Stipanicic, and Matteo Tranchero17. Privacy Elasticity: Modeling Responses to Quantifiable Privacy ChangesInbal Dekel, Rachel Cummings, Ori Heffetz, and Katrina Ligett

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