Volume 35 - Article 15 | Pages 399–454
Variance models of the last age interval and their impact on life expectancy at subnational scales
By Ernest Lo, Dan Vatnik, Andrea Benedetti, Robert Bourbeau
Abstract
Background: The Chiang method is the most widely accepted standard for estimating life expectancy (LE) at subnational scales; it is the only method that provides an equation for the LE variance. However, the Chiang variance formula incorrectly omits the contribution of the last age interval. This error is largely unknown to practitioners, and its impact has not been rigorously assessed.
Objective: We aim to demonstrate the potentially substantial role of the last age interval on LE variance. We further aim to provide formulae and tools for corrected variance estimation.
Methods: The delta method is used to derive variance formulae for a range of variance models of the last age interval. Corrected variances are tested on 291 empirical, abridged life tables drawn from Canadian data (2004-2008) spanning provincial, regional, and intra-regional scales.
Results: The last age interval death count can contribute substantially to the LE variance, leading to overestimates of precision and false positives in statistical tests when using the uncorrected Chiang variance. Overdispersion amplifies the contribution while error in population counts has minimal impact.
Conclusions: Use of corrected variance formulae is essential for studies that use the Chiang LE. The important role of the last age interval , and hence the life table closure method, on LE variance is demonstrated. These findings extend to other LE-derived metrics such as health expectancy.
Contribution: We demonstrate that the last age interval death count can contribute substantially to the LE variance, thus resolving an ambiguity in the scientific literature. We provide heretofore-unavailable formulae for correcting the Chiang LE variance equation.
Author's Affiliation
- Ernest Lo - Institut National de Santé Publique du Québec (INSPQ), Canada EMAIL
- Dan Vatnik - McGill University, Canada EMAIL
- Andrea Benedetti - McGill University, Canada EMAIL
- Robert Bourbeau - Université de Montréal, Canada EMAIL
Other articles by the same author/authors in Demographic Research
Insight on 'typical' longevity: An analysis of the modal lifespan by leading causes of death in Canada
Volume 35 - Article 17
Changes in the age-at-death distribution in four low mortality countries: A nonparametric approach
Volume 25 - Article 19
Does the recent evolution of Canadian mortality agree with the epidemiologic transition theory?
Volume 18 - Article 19
Mortality statistics for the oldest-old: an evaluation of Canadian data
Volume 2 - Article 2
Most recent similar articles in Demographic Research
Interrogating the quality and completion of mortality mobile phone interviews conducted in Malawi during COVID-19: An examination of interviewer–respondent interactions
Volume 51 - Article 46
| Keywords:
audio-recording,
LMICs,
Malawi,
mobile phone survey,
mortality,
RaMMPS
Excess mortality associated with HIV: Survey estimates from the PHIA project
Volume 51 - Article 38
| Keywords:
excess mortality,
HIV/AIDS,
mortality
A Bayesian model for age at death with cohort effects
Volume 51 - Article 33
| Keywords:
age at death,
Bayesian approach,
cohort effects,
Italy,
mortality
The impact of the COVID-19 pandemic on mortality in Uruguay from 2020 to 2022
Volume 51 - Article 29
| Keywords:
COVID-19,
excess mortality,
life expectancy,
Uruguay
On the relationship between life expectancy, modal age at death, and the threshold age of the life table entropy
Volume 51 - Article 24
| Keywords:
Gompertz law,
life expectancy,
lifespan variation,
longevity,
mode,
mortality
Cited References: 52
Download to Citation Manager
PubMed
Google Scholar