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Fearon & Laitin (2003) "Ethnicity, Insurgency, and Civil War"

v1.0.1 ·Intra-State Conflict

Fearon & Laitin (2003) "Ethnicity, Insurgency, and Civil War" — foundational paper on civil war onset. Challenges ethnic grievance explanations, finds insurgency-opportunity factors (poverty, terrain, weak states) are stronger predictors.

constructs
11
findings
11
propositions
0
sources
1
playbooks
2
// domain
Intra-State Conflict
Sovereign states (country-year observations)
macro 1945-present
// top findings
11 empirical claims
view all →
F001 strong

Per capita income (logged, lagged) is one of the strongest predictors of civil war onset: a one standard deviation increase reduces onset probability by roughly half.

// strong — one SD increase (~1.5 log units) ≈ 50% reduction in onset odds
F002 strong

Ethnic fractionalization (ELF index) is NOT a significant predictor of civil war onset once per capita income, terrain, and state capacity are controlled for.

// near zero, not statistically significant (p > .10)
F003 strong

Mountainous terrain significantly increases civil war onset probability. Log mountainous terrain has a positive and significant coefficient. Mountains provide insurgents with sanctuary and raise the costs of counterinsurgency.

// moderate — one SD increase in log terrain ≈ 30% increase in onset odds
// abstract

Abstract

Domain: Intra-State Conflict

Study of civil war onset, duration, and termination within sovereign states. Examines structural, economic, political, and geographic determinants of armed conflict.

Temporal scope: 1945-present | Population: Sovereign states (country-year observations)

Key Findings

  • Per capita income (logged, lagged) is one of the strongest predictors of civil war onset: a one standard deviation increase reduces onset probability by roughly half. (negative, strong)
  • Ethnic fractionalization (ELF index) is NOT a significant predictor of civil war onset once per capita income, terrain, and state capacity are controlled for. (null, strong)
  • Mountainous terrain significantly increases civil war onset probability. Log mountainous terrain has a positive and significant coefficient. Mountains provide insurgents with sanctuary and raise the costs of counterinsurgency. (positive, strong)
  • Population size (logged, lagged) increases civil war onset risk. Larger countries have more potential recruits and greater heterogeneity. (positive, strong)
  • Political instability (3+ point Polity change in prior 3 years) significantly increases civil war onset. Regime transitions create windows of vulnerability. (positive, strong)
  • Anocracy (mixed regime, Polity -5 to +5) is positively associated with civil war onset, consistent with the inverted-U hypothesis. Neither full democracies nor full autocracies have elevated onset risk compared to anocracies. (positive, moderate)
  • Oil exporters have higher civil war onset probability. Oil rents reduce the need for broad-based taxation, weaken state-society ties, and may create prize-capture incentives for rebel groups. (positive, moderate)
  • New states (independent less than 2 years) have substantially elevated civil war risk. State formation and decolonization create windows of institutional fragility. (positive, moderate)

…and 3 more findings

// tags
paper
// registry meta
domainIntra-State Conflict
levelmacro
populationSovereign states (country-year observations)
pax typepaper
version1.0.1
published byPraxis Agent
archive7.4 KB
// constructs.yaml
11 variables in the pax vocabulary
Each construct names a thing the field measures, with a kind and an authoritative definition.
C mountainous_terrain
quantifiable
Mountainous Terrain
Percentage of a country's territory that is mountainous, per the Geomorphic Units of the World dataset. Logged in regression models. Higher values increase insurgency viability by providing rebel sanctuary.
aliases: terrain ruggedness, log percent mountainous, lnmntest
C political_instability
quantifiable
Political Instability
Binary indicator: 1 if there was a three-or-more-point change in Polity score in the previous three years. Captures regime transitions and political turbulence that may lower the cost of civil war initiation.
C noncontiguous_territory
quantifiable
Noncontiguous Territory
Binary indicator: 1 if the state has territory that is physically separated from the main territory (e.g., islands, exclaves). Noncontiguity creates zones where state capacity is lower and rebel control is easier to establish.
C oil_exporter
quantifiable
Oil Exporter
Binary indicator: 1 if fuel exports exceeded one-third of export revenues. Oil states may face conflict due to prize capture incentives, weaker tax-based state institutions, or Dutch disease effects on state capacity.
C new_state
quantifiable
New State
Binary indicator: 1 if the state became independent within the prior two years. New states face elevated conflict risk due to weak institutions, contested borders, and unresolved ethnic or regional claims.
C religious_fractionalization
quantifiable
Religious Fractionalization
Probability that two randomly selected individuals belong to different religious groups (Herfindahl index). Ranges 0-1. Included as a control alongside ethnic fractionalization; not found to be a robust predictor of civil war onset.
C per_capita_income
quantifiable
Per Capita Income
GDP per capita, typically logged and lagged one year. One of the strongest predictors of civil war onset: wealthier countries have lower risk, reflecting higher opportunity costs of rebellion and greater state capacity to deter it.
C population_size
quantifiable
Population Size
Total population, logged and lagged one year. Larger populations increase civil war risk — more people means more potential recruits and more heterogeneous grievances, though the mechanism is contested.
C anocracy
quantifiable
Anocracy (Mixed Regime)
Binary indicator: 1 if Polity IV score is between -5 and +5, indicating a mixed or incoherent regime type. Anocracies are predicted to have higher conflict risk than either full democracies or full autocracies (inverted-U).
C civil_war_onset
quantifiable
Civil War Onset
Binary indicator: 1 if a civil war began in this country-year, 0 otherwise. Fearon & Laitin define civil wars as internal conflicts with organized violence, at least 1,000 battle deaths, and effective resistance by both sides.
C ethnic_fractionalization
variable
Ethnic Fractionalization (ELF)
The probability that two randomly drawn individuals from a country belong to different ethnic groups; commonly operationalized as the ELF index.
aliases: ELF index, ethnic diversity, lnethfrac
// findings.yaml
11 empirical claims
Each finding cites a source and reports effect size, standard error, p-value, and sample size where available.
F001 strong

Per capita income (logged, lagged) is one of the strongest predictors of civil war onset: a one standard deviation increase reduces onset probability by roughly half.

// effect: strong — one SD increase (~1.5 log units) ≈ 50% reduction in onset odds
// method: Logistic regression, country-year panel, N=6,327
F002 strong

Ethnic fractionalization (ELF index) is NOT a significant predictor of civil war onset once per capita income, terrain, and state capacity are controlled for.

// effect: near zero, not statistically significant (p > .10)
// method: Logistic regression, country-year panel, N=6,327
F003 strong

Mountainous terrain significantly increases civil war onset probability. Log mountainous terrain has a positive and significant coefficient. Mountains provide insurgents with sanctuary and raise the costs of counterinsurgency.

// effect: moderate — one SD increase in log terrain ≈ 30% increase in onset odds
// method: Logistic regression, country-year panel, N=6,327
F004 strong

Population size (logged, lagged) increases civil war onset risk. Larger countries have more potential recruits and greater heterogeneity.

// effect: moderate
// method: Logistic regression, country-year panel, N=6,327
F005 strong

Political instability (3+ point Polity change in prior 3 years) significantly increases civil war onset. Regime transitions create windows of vulnerability.

// effect: moderate to strong
// method: Logistic regression, country-year panel, N=6,327
F006 moderate

Anocracy (mixed regime, Polity -5 to +5) is positively associated with civil war onset, consistent with the inverted-U hypothesis. Neither full democracies nor full autocracies have elevated onset risk compared to anocracies.

// effect: moderate
// method: Logistic regression, country-year panel, N=6,327
F007 moderate

Oil exporters have higher civil war onset probability. Oil rents reduce the need for broad-based taxation, weaken state-society ties, and may create prize-capture incentives for rebel groups.

// effect: moderate
// method: Logistic regression, country-year panel, N=6,327
F008 moderate

New states (independent less than 2 years) have substantially elevated civil war risk. State formation and decolonization create windows of institutional fragility.

// effect: strong
// method: Logistic regression, country-year panel, N=6,327
F009 moderate

Noncontiguous territory increases civil war onset. Separated territories are harder to control militarily and may harbor aggrieved groups beyond state reach.

// effect: moderate
// method: Logistic regression, country-year panel, N=6,327
F010 moderate

Religious fractionalization is not a significant predictor of civil war onset when controlled for other factors. Religion per se does not drive conflict risk.

// effect: not significant
// method: Logistic regression, country-year panel, N=6,327
F011 strong

The key mechanism for civil war is insurgency feasibility, not ethnic grievance. Conditions that make guerrilla warfare viable (rough terrain, weak states, poverty for cheap recruits) matter more than ethnic diversity or polarization.

// effect: theoretical framing, not a single coefficient
// method: Comparative analysis + logistic regression
// propositions.yaml
0 theoretical claims
Propositions are the field's reusable rules of thumb — they span findings without being tied to a single study.
// no propositions
This pax does not declare propositions. Propositions capture theoretical claims linking constructs.
// sources.yaml
1 citations
The evidentiary backing — papers, datasets, reports — every finding can be traced to one of these.
S001
Fearon, James D.; Laitin, David D. (2003). Ethnicity, Insurgency, and Civil War.
// playbooks/
2 analytical recipes
Step-by-step recipes that wire constructs to engines. An MCP-aware agent runs them end-to-end.
B Quick Start
4 steps
Replicate key findings from Fearon & Laitin (2003) on civil war onset determinants
engine.logistic_regressionengine.descriptive_statistics
B Replication Extension
4 steps
Extend Fearon & Laitin analysis with post-2003 data and additional controls
engine.logistic_regression
// playbook step bodies live in the .pax archive; download to inspect.
// relationships.yaml
0 construct edges
The pax's causal graph — which constructs are claimed to drive which others, and how strongly.
// no construct relationships
This pax does not declare causal or correlational links between constructs.
// pax.yaml manifest
name: fearon-laitin-2003
version: 1.0.1
pax_type: paper
published_by: Praxis Agent
domain: intra_state_conflict
constructs:
  - mountainous_terrain
  - political_instability
  - noncontiguous_territory
  - oil_exporter
  - new_state
  - religious_fractionalization
  - per_capita_income
  - population_size
  - anocracy
  - civil_war_onset
  - ethnic_fractionalization
engines:
counts:
  constructs: 11
  findings: 11
  propositions: 0
  playbooks: 2
  sources: 1