Abstract
We examine how differences in risk composition between the overall synthetic life table cohort versus one that would be living under current mortality conditions influence life table mortality statistics. We propose formulas (i) for adjusting the force of mortality and life table statistics, eliminating heterogeneity introduced by the lagged risk composition of the synthetic cohort based on observed, fixed characteristics; and (ii) for decomposing the difference between two statistics under current risk composition, life expectancy (LE) and average lifespan deprivation (Dep) into the effects of differences in composition and of the summary mortality statistics of the subgroups. We use data on educational attainment in Denmark in 1991–1995 and 2011–2015 to illustrate these methods. The empirical example shows that the difference between the “standard” LE and the one under current risk composition is noteworthy, but the gap for Dep is negligible. Additionally, both the increase in the LEs of the educational groups and the shift in the composition of the population due to educational expansion contributed to the increase in the LE under current educational composition of both sexes. The observed decrease in Dep over the study years for both sexes resulted predominantly from the decrease in Dep of educational groups.
| Original language | English |
|---|---|
| Article number | 23 |
| Pages (from-to) | 1-18 |
| Number of pages | 18 |
| Journal | Vienna Yearbook of Population Research |
| Volume | 23 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2025 |
Fields of science
- 504006 Demography
- 101018 Statistics
- 305907 Medical statistics
- 502051 Economic statistics
- 504004 Population statistics
- 105108 Geostatistics
- 509013 Social statistics
- 509 Other Social Sciences
- 102035 Data science
- 101029 Mathematical statistics
- 102009 Computer simulation
- 106007 Biostatistics
- 101026 Time series analysis
- 101024 Probability theory
- 102037 Visualisation
- 504007 Empirical social research
- 502025 Econometrics
- 101007 Financial mathematics
JKU Focus areas
- Sustainable Development: Responsible Technologies and Management
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