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Measuring Disclosure Risk and an Examination of the Possibilities of Using Synthetic Data in the Individual Income Tax Return Public Use File

Author

Listed:
  • Sonya Vartivarian
  • John L. Czajka
  • Michael Weber

Abstract

The Statistics of Income Division (SOI) currently measures disclosure risk through a distance-based technique that compares the public use file (PUF) against the population of all tax returns and uses top-coding, subsampling and multivariate microaggregation as disclosure avoidance techniques.

Suggested Citation

  • Sonya Vartivarian & John L. Czajka & Michael Weber, "undated". "Measuring Disclosure Risk and an Examination of the Possibilities of Using Synthetic Data in the Individual Income Tax Return Public Use File," Mathematica Policy Research Reports ab85aed60a3e429786cfcbfdc, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:ab85aed60a3e429786cfcbfdc37281d7
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    References listed on IDEAS

    as
    1. Jerome P. Reiter, 2005. "Releasing multiply imputed, synthetic public use microdata: an illustration and empirical study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 185-205, January.
    2. Schenker, Nathaniel & Raghunathan, Trivellore E. & Chiu, Pei-Lu & Makuc, Diane M. & Zhang, Guangyu & Cohen, Alan J., 2006. "Multiple Imputation of Missing Income Data in the National Health Interview Survey," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 924-933, September.
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