Journal article
Mortality modeling of partially observed cohorts using administrative death records
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.9MB, Terms of use)
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- Publisher copy:
- 10.1007/s11113-023-09785-z
Authors
- Publisher:
- Springer
- Journal:
- Population Research and Policy Review More from this journal
- Volume:
- 42
- Issue:
- 3
- Article number:
- 36
- Publication date:
- 2023-04-26
- Acceptance date:
- 2023-03-06
- DOI:
- EISSN:
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1573-7829
- ISSN:
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0167-5923
- Language:
-
English
- Keywords:
- Pubs id:
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1504818
- Local pid:
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pubs:1504818
- Deposit date:
-
2023-08-07
Terms of use
- Copyright holder:
- Goldstein et al.
- Copyright date:
- 2023
- Rights statement:
- © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Licence:
- CC Attribution (CC BY)
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