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Estimating Record Linkage False Match Rate for the Person Identification Validation System

Author

Listed:
  • Mary Layne
  • Deborah Wagner
  • Cynthia Rothhaas

Abstract

The Census Bureau Person Identification Validation System (PVS) assigns unique person identifiers to federal, commercial, census, and survey data to facilitate linkages across files. PVS uses probabilistic matching to assign a unique Census Bureau identifier for each person. This paper presents a method to measure the false match rate in PVS following the approach of Belin and Rubin (1995). The Belin and Rubin methodology requires truth data to estimate a mixture model. The parameters from the mixture model are used to obtain point estimates of the false match rate for each of the PVS search modules. The truth data requirement is satisfied by the unique access the Census Bureau has to high quality name, date of birth, address and Social Security (SSN) data. Truth data are quickly created for the Belin and Rubin model and do not involve a clerical review process. These truth data are used to create estimates for the Belin and Rubin parameters, making the approach more feasible. Both observed and modeled false match rates are computed for all search modules in federal administrative records data and commercial data.

Suggested Citation

  • Mary Layne & Deborah Wagner & Cynthia Rothhaas, 2014. "Estimating Record Linkage False Match Rate for the Person Identification Validation System," CARRA Working Papers 2014-02, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:cpaper:2014-02
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    File URL: https://www.census.gov/content/dam/Census/library/working-papers/2014/adrm/carra-wp-2014-02.pdf
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    References listed on IDEAS

    as
    1. Deborah Wagner & Mary Lane, 2014. "The Person Identification Validation System (PVS): Applying the Center for Administrative Records Research and Applications’ (CARRA) Record Linkage Software," CARRA Working Papers 2014-01, Center for Economic Studies, U.S. Census Bureau.
    2. Larsen M. D & Rubin D. B, 2001. "Iterative Automated Record Linkage Using Mixture Models," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 32-41, March.
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    Keywords

    false match rate; PVS;

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