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2010 American Community Survey Match Study

Author

Listed:
  • Adela Luque
  • Renuka Bhaskar

Abstract

Using administrative records data from federal government agencies and commercial sources, the 2010 ACS Match Study measures administrative records coverage of 2010 ACS addresses, persons, and persons at addresses at different levels of geography as well as by demographic characteristics and response mode. The 2010 ACS Match Study represents a continuation of the research undertaken in the 2010 Census Match Study, the first national-level evaluation of administrative records data coverage. Preliminary results indicate that administrative records provide substantial coverage for addresses and persons in the 2010 ACS (92.7 and 92.1 percent respectively), and less extensive though substantial coverage, for person-address pairs (74.3 percent). In addition, some variation in address, person and/or person-address coverage is found across demographic and response mode groups. This research informs future uses of administrative records in survey and decennial census operations to address the increasing costs of data collection and declining response rates.

Suggested Citation

  • Adela Luque & Renuka Bhaskar, 2014. "2010 American Community Survey Match Study," CARRA Working Papers 2014-03, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:cpaper:2014-03
    as

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    File URL: https://www.census.gov/content/dam/Census/library/working-papers/2014/adrm/carra-wp-2014-03.pdf
    File Function: First version, 2014
    Download Restriction: no
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    References listed on IDEAS

    as
    1. James Farber & Charlene Leggieri, 2002. "Building and validating an administrative records database for the United States," New Zealand Economic Papers, Taylor & Francis Journals, vol. 36(1), pages 65-67.
    2. Erik Meijer & Lynn A. Karoly & Pierre-Carl Michaud, 2010. "Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low Income Subsidy Program," Working Papers WR-743, RAND Corporation.
    3. Erik Meijer & Lynn A. Karoly & Pierre-Carl Michaud, 2010. "Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low Income Subsidy Program," Working Papers 743, RAND Corporation.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Adela Luque & Michaela Dillon & Julia Manzella & James Noon & Kevin Rinz & Victoria Udalova, 2019. "Nonemployer Statistics by Demographics (NES-D): Exploring Longitudinal Consistency and Sub-national Estimates," Working Papers 19-34, Center for Economic Studies, U.S. Census Bureau.
    2. Brown, J. David & Heggeness, Misty L. & Dorinski, Suzanne M. & Warren, Lawrence & Yi, Moises, 2019. "Estimating the Potential Effects of Adding a Citizenship Question to the 2020 Census," IZA Discussion Papers 12087, Institute of Labor Economics (IZA).
    3. Renuka Bhaskar & Adela Luque & Sonya Rastogi & James M. Noon, 2014. "Coverage and Agreement of Administrative Records and 2010 American Community Survey Demographic Data," CARRA Working Papers 2014-14, Center for Economic Studies, U.S. Census Bureau.
    4. Adela Luque & Renuka Bhaskar & James Noon & Kevin Rinz & Victoria Udalova, 2019. "Nonemployer Statistics by Demographics (NES-D): Using Administrative and Census Records Data in Business Statistics," Working Papers 19-01, Center for Economic Studies, U.S. Census Bureau.
    5. Renuka Bhaskar & Leticia Fernandez & Sonya Rastogi, 2015. "Assimilation and Coverage of the Foreign-Born Population in Administrative Records," CARRA Working Papers 2015-02, Center for Economic Studies, U.S. Census Bureau.

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