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Access Methods for United States Microdata

Author

Listed:
  • Daniel Weinberg
  • John Abowd
  • Sandra Rowland
  • Philip Steel
  • Laura Zayatz

Abstract

Beyond the traditional methods of tabulations and public-use microdata samples, statistical agencies have developed four key alternatives for providing non-government researchers with access to confidential microdata to improve statistical modeling. The first, licensing, allows qualified researchers access to confidential microdata at their own facilities, provided certain security requirements are met. The second, statistical data enclaves, offer qualified researchers restricted access to confidential economic and demographic data at specific agency-controlled locations. Third, statistical agencies can offer remote access, through a computer interface, to the confidential data under automated or manual controls. Fourth, synthetic data developed from the original data but retaining the correlations in the original data have the potential for allowing a wide range of analyses.

Suggested Citation

  • Daniel Weinberg & John Abowd & Sandra Rowland & Philip Steel & Laura Zayatz, 2007. "Access Methods for United States Microdata," Working Papers 07-25, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:07-25
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    File URL: https://www2.census.gov/ces/wp/2007/CES-WP-07-25.pdf
    File Function: First version, 2007
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    Cited by:

    1. Vilhuber, Lars, 2023. "Reproducibility and transparency versus privacy and confidentiality: Reflections from a data editor," Journal of Econometrics, Elsevier, vol. 235(2), pages 2285-2294.
    2. Sergio I. Prada & Claudia González-Martínez & Joshua Borton & Johannes Fernandes-Huessy & Craig Holden & Elizabeth Hair & and Tim Mulcahy, 2011. "Avoiding Disclosure of Individually Identifiable Health Information," SAGE Open, , vol. 1(3), pages 21582440114, October.
    3. Prada, Sergio I & Gonzalez, Claudia & Borton, Joshua & Fernandes-Huessy, Johannes & Holden, Craig & Hair, Elizabeth & Mulcahy, Tim, 2011. "Avoiding disclosure of individually identifiable health information: a literature review," MPRA Paper 35463, University Library of Munich, Germany.

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