Modelling mortality differentials by socioeconomic status in the Nordic countries

Name: Poontavika Naka

Organization : Chulalongkorn Business School. Department of Statistics

Email : poontavika@cbs.chula.ac.th

keyword: Lee-Carter

ThaSH: Nordic countries

; Common factor model

ThaSH: Mortality -- Statistics

; Joint-K model

ThaSH: Mathematical models

ThaSH: Econometric models

Abstract: The main purpose of this study is to estimate age- and gender-specific mortality among differential education levels in three Nordic countries including Finland, Norway and Sweden. The two extensions of the Lee-Carter model, namely the common factor model proposed by Li and Lee (2005) and the Joint-K model, are used for the analysis. The models are estimated by using two sets of mortality data: (i) the national mortality experience over the longer period 1960-2018 and (ii) the subpopulation by educational attainment over the shorter period 2007-2018. The empirical result suggests that males have a higher mortality rate than females at all ages. It also confirms the inverse relationship between differential education level and mortality implying that less-educated population has higher mortality rate than well-educated population. Based on the comparison in terms of historical fit, the common factor model outperforms the Joint-K model for males in Finland and Norway but it is unclear in Sweden. Also, it is inconclusive for females in all three countries.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2022

Modified: 2025-09-15

Issued: 2025-09-15

บทความ/Article

application/pdf

BibliograpyCitation : In King Mongkut's University of Technology North Bangkok Faculty of Applied Science, Thai Statistical Association (TSA) and Statistics Cooperative Research Network (Statistics CRN). The Proceeding of International Conference on Applied Statistics (ICAS 2022) (pp.121-128). Bangkok : King Mongkut's University of Technology North Bangkok

eng

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