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Mortality Modeling of Partially Observed Cohorts Using Administrative Death Records

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Listed:
  • Joshua R. Goldstein

    (University of California, Berkeley)

  • Maria Osborne

    (University of California, Berkeley)

  • Serge Atherwood

    (University of San Francisco)

  • Casey F. Breen

    (University of California, Berkeley)

Abstract

New advances in data linkage provide mortality researchers with access to administrative datasets with millions of mortality records and rich demographic covariates. Although these new datasets allow for high-resolution mortality research, administrative mortality records often have technical limitations, such as limited mortality coverage windows and incomplete observation of survivors. We describe a method for fitting truncated distributions that can be used for estimating mortality differentials in administrative data. We apply this method to the CenSoc datasets, which link the United States 1940 Census records to Social Security administrative mortality records. Our approach may be useful in other contexts where administrative data on deaths are available. As a companion to the paper, we release the R package gompertztrunc, which implements the methods introduced in this paper.

Suggested Citation

  • Joshua R. Goldstein & Maria Osborne & Serge Atherwood & Casey F. Breen, 2023. "Mortality Modeling of Partially Observed Cohorts Using Administrative Death Records," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(3), pages 1-20, June.
    • Handle: RePEc:kap:poprpr:v:42:y:2023:i:3:d:10.1007_s11113-023-09785-z
    DOI: 10.1007/s11113-023-09785-z
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    References listed on IDEAS

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    1. Dan A. Black & Yu-Chieh Hsu & Seth G. Sanders & Lynne Steuerle Schofield & Lowell J. Taylor, 2017. "The Methuselah Effect: The Pernicious Impact of Unreported Deaths on Old-Age Mortality Estimates," Demography, Springer;Population Association of America (PAA), vol. 54(6), pages 2001-2024, December.
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    8. Casey Breen & Joshua R. Goldstein, 2022. "Berkeley Unified Numident Mortality Database: Public administrative records for individual-level mortality research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(5), pages 111-142.
    9. Breen, Casey & Goldstein, Joshua R., 2022. "Berkeley Unified Numident Mortality Database: Public Administrative Records for Individual-Level Mortality Research," SocArXiv pc294, Center for Open Science.
    10. Andrew Halpern-Manners & Jonas Helgertz & John Robert Warren & Evan Roberts, 2020. "The Effects of Education on Mortality: Evidence From Linked U.S. Census and Administrative Mortality Data," Demography, Springer;Population Association of America (PAA), vol. 57(4), pages 1513-1541, August.
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    1. Héctor Pifarré i Arolas & José C. Andrade Santacruz & Mikko Myrskylä, 2023. "An overlapping cohorts perspective of lifespan inequality," MPIDR Working Papers WP-2023-046, Max Planck Institute for Demographic Research, Rostock, Germany.

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