Cited by 1,386Political Conflict and GovernanceCulture, Economy, and Development StudiesNatural Resources and Economic Development

The DOI matches its Crossref record; 40 of the 41 references it cites were found in a registry or an index; 3 of the 30 sources its claims cite were checked for support.

Ethnic Polarization, Potential Conflict, and Civil Wars

Montalvo, José G, Reynal-Querol, Marta·2005·American Economic Review

Abstract

This paper analyzes the relationship between ethnic fractionalization, polarization, and conflict. In recent years many authors have found empirical evidence that ethnic fractionalization has a negative effect on growth. One mechanism that can explain this nexus is the effect of ethnic heterogeneity on rent-seeking activities and the increase in potential conflict, which is negative for investment. However the empirical evidence supporting the effect of ethnic fractionalization on the incidence of civil conflicts is very weak. Although ethnic fractionalization may be important for growth, we argue that the channel is not through an increase in potential ethnic conflict. We discuss the appropriateness of indices of polarization to capture conflictive dimensions. We develop a new measure of ethnic heterogeneity that satisfies the basic properties associated with the concept of polarization. The empirical section shows that this index of ethnic polarization is a significant variable in the explanation of the incidence of civil wars. This result is robust to the presence of other indicators of ethnic heterogeneity, other sources of data for the construction of the index, and other data structures.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

The paper argues that ethnic fractionalization is the wrong measure for capturing potential conflict; an ethnic polarization index (Q) better predicts civil war incidence. Using logit regressions on 138 countries from 1960–99, ethnic polarization is positive and significant while ethnic fractionalization is not.

Key findings

  • Ethnic fractionalization (ETHFRAC) has no statistically significant effect on civil war incidence (coefficient 1.19, z=1.89 in column 1), consistent with Fearon and Laitin (2003) and Collier and Hoeffler (1998).
  • Ethnic polarization (ETHPOL) has a positive and statistically significant effect: coefficient 2.37 (z=2.97) alone, and 2.28 (z=2.23) when ETHFRAC is included; ETHFRAC remains insignificant (0.17, z=0.19).
  • The effect is economically important: moving polarization from the average (0.51) to Guinea’s level (0.84) almost doubles the probability of conflict; a one-standard-deviation increase (0.24) raises the probability by 67%.
  • Robustness checks support ethnic polarization across alternative civil-war definitions (PRIO1000, PRIO25, Doyle–Sambanis, Fearon–Laitin), alternative data sources (Alesina et al., Atlas Narodov Mira), regional dummies, and cross-section regressions; religious polarization is less robust and depends on specification.

Methods

  • Logit regressions for civil war incidence using a panel of 138 countries over 1960–99, divided into five-year periods; dependent variable is PRIOCW (PRIO intermediate/high-intensity civil war), with robustness using PRIO1000, PRIO25, DSCW, and FLCW definitions.
  • Core explanatory variables: log real GDP per capita at period start (LGDPC), log population (LPOP), primary exports (PRIMEXP), mountains (MOUNTAINS), noncontiguous state (NONCONT), and democracy (DEMOCRACY); ethnic and religious fractionalization/polarization indices are added.
  • Ethnic heterogeneity data primarily from the World Christian Encyclopedia; religious data from L’Etat des Religions dans le Monde and The Statesman’s Yearbook; robustness uses Alesina et al. (2003) and Atlas Narodov Mira data.

Limitations

  • The paper states no formal limitations section. It notes that religious polarization’s statistical relevance depends on the particular specification, and that when Sub-Saharan African countries are eliminated and ethnic fractionalization is included, ethnic polarization becomes insignificant (coefficient 1.98, z=1.32).
  • The paper also reports that ethnic polarization is only marginally significant using the Fearon and Laitin civil-war definition (coefficient 1.95, z=1.97).
  • Evident from the text: the analysis is observational cross-country panel logit, so causal interpretation is limited; results may depend on group classification and data source, though the paper argues robustness across sources.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1257/0002828054201468

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

3 of 30 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured

Show all 78 claims

  • Probably not a substantial claim. 19
  • It may state two separate claims as one. 21
  • The quote only partly states this claim. 2
35 of 35
  • The paper relies on this without support.

    Civil wars are traumatic events that damage economic development.

    “There is no doubt that civil wars are traumatic events that damage economic development.”
1 of 1

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Figure 3's data source is reversed

    Minor

    The text says Figure 3 uses Alesina et al.'s data, but the figure caption identifies the Atlas Nadorov Mira as its source.

  • Figure 4's data source is reversed

    Minor

    The text says Figure 4 uses Atlas Nadorov Mira data, but its caption identifies Alesina et al. as the source.

2 of 2

Citations

Cites

Flagged first, then by citations

1 of the 41 references couldn’t be matched to a known paper.

Research works printed but not linked: 3

  1. Barrett, David B., ed., World Christian encyclopedia. Oxford: Oxford University Press, 1982.
  2. Paxton John, New York: Macmillan, 1983, 1985
  3. Wolfson Michael C, 1994, American Economic Review, 84

Cited by

Sorted by citations

See all 1,386

Metadata

Authors
Montalvo, J. G., & Reynal-Querol, M.
Affiliations
  • Universitat Pompeu Fabra (ES)
  • The World Bank, 1818 H Street, NW, Washington, DC 20433.
Venue
American Economic Review
Published
2005-06-01
Volume
95
Issue
3
Pages
796-816
ISSN
0002-8282 (ISSN-L)
OpenAlex
W1975264861
Cited by
1,386
References
41
Citations by year
2026: 33 · 2025: 63 · 2024: 64 · 2023: 56 · 2022: 97 · 2021: 76 · 2020: 89 · 2019: 61 · 2018: 77 · 2017: 61 · 2016: 70 · 2015: 90 · 2014: 79 · 2013: 80 · 2012: 61
FWCI
145.37
Type
journal article
Language
en
Open access
closed
Locations
  • American Economic Review (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Political Conflict and Governance
  • Social Sciences › Development › Culture, Economy, and Development Studies
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Natural Resources and Economic Development
Keywords
ethnic fractionalization, ethnic conflict, civil war, ethnic distance, ethnic diversity, economic growth, political instability, corruption, investment, ethnic classification

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.

A language model drew the claims from the paper on 2026-10-13, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-13 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

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