Cited by 142Health and Conflict StudiesPolitical Conflict and GovernancePeacebuilding and International Security

The Immediate and Lingering Effects of Armed Conflict on Adult Mortality: A Time-Series Cross-National Analysis

Li, Quan, Wen, Ming·2005·Journal of Peace Research

Abstract

This research investigates the effect of armed conflict on adult mortality across countries and over time. Theoretical mechanisms are specified for how military violence influences adult mortality, both immediately and over time after conflict. The effects of aggregate conflict, interstate and intrastate conflicts, and conflict severity are explored. The Heckman selection model is applied to account for the conflict-induced missing data problem. A pooled analysis across 84 countries for the period from 1961 to 1998 provides broad empirical support for the proposed theoretical expectations across both genders. This study confirms the importance of both the immediate and the lingering effect of military conflict on the mortality of the working-age population. The immediate effect of civil conflict is much stronger than that of the interstate conflict, while the reverse applies to the lingering effect. Both the immediate and the lingering effects of severe conflict are much stronger than those of minor conflict. While men tend to suffer higher mortality immediately from intrastate conflict and severe conflict, women in the long run experience as much mortality owing to the lingering effects of these conflicts. The mortality data show a strong data selection bias caused by military conflict. The research findings highlight the imperative for negotiating peace. Preventing a contest from escalating into a severe conflict can produce noticeable gains in saved human lives.

Integrity signals

Registry

Crossref · 10.1177/0022343305054092

Cites

60 of 60 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Wars are extreme cases of political decisions quickly affecting fertility, mortality, and migration.

    “Likewise, wars are extreme cases of political decisions quickly affecting fertility (e.g., Blanc 2004; Cetorelli 2014), mortality (e.g., Li and Wen 2005), and migration (e.g., Abel et al. 2019).”

    From Demography: Fast and Slow (2022) · cites this paper as Li and Wen 2005

Cites

Flagged first, then by citations

2 of the 62 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Li, Q., & Wen, M.
Affiliations
  • Pennsylvania State University (US)
  • University of Utah (US)
Corresponding author
  • Li, Quan
  • Wen, Ming
Venue
Journal of Peace Research
Published
2005-07-01
Volume
42
Issue
4
Pages
471-492
ISSN
  • 0022-3433 (ISSN-L)
  • 1460-3578
OpenAlex
W2086299242
Cited by
142
References
62
Citations by year
2026: 4 · 2025: 2 · 2024: 2 · 2023: 6 · 2022: 7 · 2021: 8 · 2020: 34 · 2019: 9 · 2018: 7 · 2017: 6 · 2016: 6 · 2015: 10 · 2014: 6 · 2013: 2 · 2012: 8
FWCI
8.42
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Peace Research (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Health and Conflict Studies
  • Social Sciences › Sociology and Political Science › Political Conflict and Governance
  • Social Sciences › Sociology and Political Science › Peacebuilding and International Security
Keywords
armed conflict, adult mortality, civil conflict, interstate conflict, conflict intensity, gender differences in mortality, working-age population, data selection bias, peace negotiations, conflict prevention

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review