Method for reconstructing mortality by educational groups

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Method for reconstructing mortality by educational groups. / Németh, László; Jasilionis, Domantas; Brønnum-Hansen, Henrik; Jdanov, Dmitri A.

In: Population Health Metrics, Vol. 19, No. 1, 2021, p. 34.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Németh, L, Jasilionis, D, Brønnum-Hansen, H & Jdanov, DA 2021, 'Method for reconstructing mortality by educational groups', Population Health Metrics, vol. 19, no. 1, pp. 34. https://doi.org/10.1186/s12963-021-00264-1

APA

Németh, L., Jasilionis, D., Brønnum-Hansen, H., & Jdanov, D. A. (2021). Method for reconstructing mortality by educational groups. Population Health Metrics, 19(1), 34. https://doi.org/10.1186/s12963-021-00264-1

Vancouver

Németh L, Jasilionis D, Brønnum-Hansen H, Jdanov DA. Method for reconstructing mortality by educational groups. Population Health Metrics. 2021;19(1):34. https://doi.org/10.1186/s12963-021-00264-1

Author

Németh, László ; Jasilionis, Domantas ; Brønnum-Hansen, Henrik ; Jdanov, Dmitri A. / Method for reconstructing mortality by educational groups. In: Population Health Metrics. 2021 ; Vol. 19, No. 1. pp. 34.

Bibtex

@article{ccbb468f49bd48be8e60f4407d5e4389,
title = "Method for reconstructing mortality by educational groups",
abstract = "BACKGROUND: The lack of classification by educational attainment in death and population exposure data at older ages is an important constraint for studying changes and patterns of mortality disparities by education in Denmark and Sweden. The missing educational distribution of population also restricts analyses aiming at estimating contributions of compositional change to the improvements in national longevity. This study proposes a transparent approach to solve the two methodological issues allowing to obtain robust education-specific mortality estimates and population weights.METHODS: Using nonparametric approach, we redistribute the unknown cases and extrapolate the mortality curves of these sub-populations with the help of population-level data on an aggregate level from the Human Mortality Database.RESULTS: We present reconstructed and harmonized education-specific abridged and complete life tables for Sweden and Denmark covering 5-year-long periods from 1991-1995 to 2011-2015. The newly estimated life tables are in good agreement with the national life tables and show plausible age- and education-specific patterns. The observed changes in life expectancy by education suggest about the widening longevity gap between the highest and lowest educated for males and females in both countries.CONCLUSIONS: The proposed simple and transparent method can be applied in similar country-specific cases showing large proportions of missing education or other socio-economic characteristics at older ages.",
author = "L{\'a}szl{\'o} N{\'e}meth and Domantas Jasilionis and Henrik Br{\o}nnum-Hansen and Jdanov, {Dmitri A}",
note = "{\textcopyright} 2021. The Author(s).",
year = "2021",
doi = "10.1186/s12963-021-00264-1",
language = "English",
volume = "19",
pages = "34",
journal = "Population Health Metrics",
issn = "1478-7954",
publisher = "BioMed Central",
number = "1",

}

RIS

TY - JOUR

T1 - Method for reconstructing mortality by educational groups

AU - Németh, László

AU - Jasilionis, Domantas

AU - Brønnum-Hansen, Henrik

AU - Jdanov, Dmitri A

N1 - © 2021. The Author(s).

PY - 2021

Y1 - 2021

N2 - BACKGROUND: The lack of classification by educational attainment in death and population exposure data at older ages is an important constraint for studying changes and patterns of mortality disparities by education in Denmark and Sweden. The missing educational distribution of population also restricts analyses aiming at estimating contributions of compositional change to the improvements in national longevity. This study proposes a transparent approach to solve the two methodological issues allowing to obtain robust education-specific mortality estimates and population weights.METHODS: Using nonparametric approach, we redistribute the unknown cases and extrapolate the mortality curves of these sub-populations with the help of population-level data on an aggregate level from the Human Mortality Database.RESULTS: We present reconstructed and harmonized education-specific abridged and complete life tables for Sweden and Denmark covering 5-year-long periods from 1991-1995 to 2011-2015. The newly estimated life tables are in good agreement with the national life tables and show plausible age- and education-specific patterns. The observed changes in life expectancy by education suggest about the widening longevity gap between the highest and lowest educated for males and females in both countries.CONCLUSIONS: The proposed simple and transparent method can be applied in similar country-specific cases showing large proportions of missing education or other socio-economic characteristics at older ages.

AB - BACKGROUND: The lack of classification by educational attainment in death and population exposure data at older ages is an important constraint for studying changes and patterns of mortality disparities by education in Denmark and Sweden. The missing educational distribution of population also restricts analyses aiming at estimating contributions of compositional change to the improvements in national longevity. This study proposes a transparent approach to solve the two methodological issues allowing to obtain robust education-specific mortality estimates and population weights.METHODS: Using nonparametric approach, we redistribute the unknown cases and extrapolate the mortality curves of these sub-populations with the help of population-level data on an aggregate level from the Human Mortality Database.RESULTS: We present reconstructed and harmonized education-specific abridged and complete life tables for Sweden and Denmark covering 5-year-long periods from 1991-1995 to 2011-2015. The newly estimated life tables are in good agreement with the national life tables and show plausible age- and education-specific patterns. The observed changes in life expectancy by education suggest about the widening longevity gap between the highest and lowest educated for males and females in both countries.CONCLUSIONS: The proposed simple and transparent method can be applied in similar country-specific cases showing large proportions of missing education or other socio-economic characteristics at older ages.

U2 - 10.1186/s12963-021-00264-1

DO - 10.1186/s12963-021-00264-1

M3 - Journal article

C2 - 34446043

VL - 19

SP - 34

JO - Population Health Metrics

JF - Population Health Metrics

SN - 1478-7954

IS - 1

ER -

ID: 278035857