Thesis
The causes and the consequences of growing life expectancy shortfalls
- Abstract:
- Life expectancy stagnation—the lack of improvement in life expectancy over time—and life expectancy divergence—the widening of an existing life expectancy gap—are both warning signs that population health is not developing as well as it could. Most demographic research has used a stagnation perspective to understand recent life expectancy trends in high-income countries. This dissertation argues that a within-country approach risks overlooking critical mortality dynamics that are unique to the population experiencing life expectancy stagnation. It proposes to complement within-country analysis of life expectancy stagnation with between-country analysis of life expectancy divergence. In three empirical studies, this dissertation identifies the causes of recent life expectancy trends in the United States of America (USA) and the United Kingdom (UK) relative to other high-income countries before, during, and after the COVID-19 pandemic, and quantifies the consequences of this life expectancy divergence for population composition. Using demographic decomposition, Chapter 2 identifies the age groups and causes of death that contributed to the decreasing life expectancy advantage or increasing life expectancy disadvantage of England and Wales relative to other European countries in the period 2010–2019. Chapter 3 identifies the age groups and causes of death that contributed to life expectancy divergence between the USA and the UK and better-performing peer countries during the COVID-19 pandemic. Chapter 4 considers the consequences of the growing life expectancy shortfall of the USA. Using counterfactual methods, it estimates the number of children that were never born because the USA consistently experienced higher mortality than its peers. Across the three chapters, the proposed divergence approach points to critical population dynamics in the USA and the UK that had previously gone unnoticed with a stagnation approach. Thus, this dissertation argues that the joint application of the two approaches should become more common practice in demographic analysis.
Actions
Access Document
- Files:
-
-
(Preview, Dissemination version, pdf, 35.8MB, Terms of use)
-
(Supplementary materials, zip, 9.6MB, Terms of use)
-
Authors
Contributors
+ Tilstra, A
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- Nuffield Department of Population Health
- Role:
- Contributor
- ORCID:
- 0000-0001-7622-9088
+ Zhang, L
- Role:
- Contributor
+ Timonin, S
- Role:
- Contributor
+ Gupta, A
- Role:
- Contributor
+ Leon, D
- Role:
- Contributor
+ Leverhulme Trust
More from this funder
- Funder identifier:
- https://ror.org/012mzw131
- Funding agency for:
- Polizzi, AE
- Dowd, J
- Tilstra, A
- Zhang, L
- Aburto, J
- Grant:
- RC-2018-003
+ European Research Council
More from this funder
- Funder identifier:
- https://ror.org/0472cxd90
- Funding agency for:
- Polizzi, AE
- Dowd, J
- Tilstra, A
- Grant:
- ERC-2021-CoG-101002587
+ UK Research and Innovation
More from this funder
- Funder identifier:
- https://ror.org/001aqnf71
- Funding agency for:
- Tilstra, A
- Grant:
- EP/X027678/1
+ Australian Research Council
More from this funder
- Funder identifier:
- https://ror.org/05mmh0f86
- Funding agency for:
- Timonin, S
- Grant:
- DP210100401
+ H2020 Marie Skłodowska-Curie Actions
More from this funder
- Funding agency for:
- Gupta, A
- Aburto, J
- Grant:
- 101027598
- 896821
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2026-05-07
- ARK identifier:
Terms of use
- Copyright holder:
- Antonino Erich Polizzi
- Copyright date:
- 2025
- Notes:
-
Indirect effects of the COVID-19 pandemic: a cause-of-death analysis of life expectancy changes in 24 countries, 2015 to 2022, Working-age mortality is still an important driver of stagnating life expectancy in the United States, and The impact of early death on birth counts in the United States, 1950 to 2019 are derived from this thesis.
Supporting data can be found at: le_cod_preparedata, indirect-effects-C19, StagnateWA-US, and ReproMx.
If you are the owner of this record, you can report an update to it here: Report update to this record