Data quality issues at advanced old age, such as incompleteness of registration of
vital events and age misreporting, compromise estimates of the death rates and
remaining life expectancy at those ages. Following up on Horiuchi and Coale
(Population Studies 36: 317-326, 1982), Mitra (Population Studies 38: 313-319, 1984,
Population Studies 39: 511-512, 1985), and Coale (Population Studies 39: 507-509,
1985), we examine the conventional approaches to constructing life tables from data
deficient at advanced ages and the two adjustment methods by the mentioned
authors. Contrary to earlier reports by Horiuchi, Coale, and Mitra, we show that the
two methods are consistent and useful in drastically reducing the estimation errors
in life expectancy as compared to the conventional approaches, i.e., the classical
open age interval model and extrapolation of the death rates. Our results suggest
complementing the classical estimates of life expectancy by adjustments using Horiuchi-
Coale, Mitra, or other appropriate methods and avoiding the extrapolation method as a
tool for estimating the life expectancy.
| Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:6737 |
| Date | January 2018 |
| Creators | Ediev, Dalkhat M. |
| Publisher | Springer |
| Source Sets | Wirtschaftsuniversität Wien |
| Language | English |
| Detected Language | English |
| Type | Article, PeerReviewed |
| Format | application/pdf |
| Rights | Creative Commons: Attribution 4.0 International (CC BY 4.0) |
| Relation | http://dx.doi.org/10.1186/s41118-018-0029-7, https://www.springeropen.com/, http://epub.wu.ac.at/6737/ |
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