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Gradient Boosting to Address Statistical Problems Arising from Non-Linkage of Census Bureau Datasets

Author

Listed:
  • Matthew Cefalu
  • John Sullivan
  • Narayan Sastry
  • Elizabeth Fussell
  • Todd Gardner

Abstract

This article introduces the twangRDC package, which contains functions to address non-linkage in US Census Bureau datasets. The Census Bureau’s Person Identification Validation System facilitates data linkage by assigning unique person identifiers to federal, third party, decennial census, and survey data. Not all records in these datasets can be linked to the reference file and as such not all records will be assigned an identifier. This article is a tutorial for using the twangRDC to generate nonresponse weights to account for non-linkage of person records across US Census Bureau datasets.

Suggested Citation

  • Matthew Cefalu & John Sullivan & Narayan Sastry & Elizabeth Fussell & Todd Gardner, 2024. "Gradient Boosting to Address Statistical Problems Arising from Non-Linkage of Census Bureau Datasets," Working Papers 24-27, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:24-27
    as

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    File URL: https://www2.census.gov/library/working-papers/2024/adrm/ces/CES-WP-24-27.pdf
    File Function: First version, 2024
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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.
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    Cited by:

    1. Jennifer R. Withrow & Kendall A. Houghton & Eva Lyubich & Mary Munro & Suvy Qin & John L. Voorheis, 2024. "The Census Historical Environmental Impacts Frame," Working Papers 24-66, Center for Economic Studies, U.S. Census Bureau.

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