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Adjusting survey weights when altering identifying design variables via synthetic data

Publication ,  Conference
Mitra, R; Reiter, JP
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2006

Statistical agencies alter values of identifiers to protect respondents’ confidentiality. When these identifiers are survey design variables, leaving the original survey weights on the file can be a disclosure risk. Additionally, the original weights may not correspond to the altered values, which impacts the quality of design-based (weighted) inferences. In this paper, we discuss some strategies for altering survey weights when altering design variables. We do so in the context of simulating identifiers from probability distributions, i.e. partially synthetic data. Using simulation studies, we illustrate aspects of the quality of inferences based on the different strategies.

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Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783540493303

Publication Date

January 1, 2006

Volume

4302

Start / End Page

177 / 188

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Mitra, R., & Reiter, J. P. (2006). Adjusting survey weights when altering identifying design variables via synthetic data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4302, pp. 177–188). https://doi.org/10.1007/11930242_16
Mitra, R., and J. P. Reiter. “Adjusting survey weights when altering identifying design variables via synthetic data.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4302:177–88, 2006. https://doi.org/10.1007/11930242_16.
Mitra R, Reiter JP. Adjusting survey weights when altering identifying design variables via synthetic data. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2006. p. 177–88.
Mitra, R., and J. P. Reiter. “Adjusting survey weights when altering identifying design variables via synthetic data.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4302, 2006, pp. 177–88. Scopus, doi:10.1007/11930242_16.
Mitra R, Reiter JP. Adjusting survey weights when altering identifying design variables via synthetic data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2006. p. 177–188.
Journal cover image

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783540493303

Publication Date

January 1, 2006

Volume

4302

Start / End Page

177 / 188

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences