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Data Privacy for Record Linkage and Beyond

In: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences

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  • Shurong Lin
  • Eric D. Kolaczyk

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  • Shurong Lin & Eric D. Kolaczyk, 2025. "Data Privacy for Record Linkage and Beyond," NBER Chapters, in: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:15030
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    References listed on IDEAS

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    1. P. Lahiri & Michael D. Larsen, 2005. "Regression Analysis With Linked Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 222-230, March.
    2. Rebecca C. Steorts & Rob Hall & Stephen E. Fienberg, 2016. "A Bayesian Approach to Graphical Record Linkage and Deduplication," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1660-1672, October.
    3. N. Salvati & E. Fabrizi & M. G. Ranalli & R. L. Chambers, 2021. "Small area estimation with linked data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(1), pages 78-107, February.
    4. Ying Han & Partha Lahiri, 2019. "Statistical Analysis with Linked Data," International Statistical Review, International Statistical Institute, vol. 87(S1), pages 139-157, May.
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