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Revisions to the LEHD Establishment Imputation Procedure and Applications to Administrative Job Frame

Author

Listed:
  • Lee Tucker
  • Moises Yi
  • Filip Babalievsky
  • Hubert P. Janicki
  • Stephen R. Tibbets
  • Lawrence Warren

Abstract

The Census Bureau is developing a “job frame” to provide detailed job-level employment data across the U.S. through linked administrative records such as unemployment insurance and IRS W-2 filings. This working paper summarizes the research conducted by the job frame development team on modifying and extending the LEHD Unit-to-Worker (U2W) imputation procedure for the job frame prototype. It provides a conceptual overview of the U2W imputation method, highlighting key challenges and tradeoffs in its current application. The paper then presents four imputation methodologies and evaluates their performance in areas such as establishment assignment accuracy, establishment size matching, and job separation rates. The results show that all methodologies perform similarly in assigning workers to the correct establishment. Non-spell-based methodologies excel in matching establishment sizes, while spell-based methodologies perform better in accurately tracking separation rates.

Suggested Citation

  • Lee Tucker & Moises Yi & Filip Babalievsky & Hubert P. Janicki & Stephen R. Tibbets & Lawrence Warren, 2024. "Revisions to the LEHD Establishment Imputation Procedure and Applications to Administrative Job Frame," Working Papers 24-51, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:24-51
    as

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    File URL: https://www2.census.gov/library/working-papers/2024/adrm/ces/CES-WP-24-51.pdf
    File Function: First version, 2024
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    References listed on IDEAS

    as
    1. Sergio Correia & Paulo Guimarães & Tom Zylkin, 2020. "Fast Poisson estimation with high-dimensional fixed effects," Stata Journal, StataCorp LP, vol. 20(1), pages 95-115, March.
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