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Explaining Rape during Civil War: Cross-National Evidence (1980–2009)

Published online by Cambridge University Press:  08 August 2013

DARA KAY COHEN*
Affiliation:
Harvard University
*
Dara Kay Cohen is Assistant Professor, Kennedy School of Government, Harvard University, 79 John F. Kennedy Street, Cambridge, MA 02138 (dara_cohen@hks.harvard.edu).
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Abstract

Why do some armed groups commit massive wartime rape, whereas others never do? Using an original dataset, I describe the substantial variation in rape by armed actors during recent civil wars and test a series of competing causal explanations. I find evidence that the recruitment mechanism is associated with the occurrence of wartime rape. Specifically, the findings support an argument about wartime rape as a method of socialization, in which armed groups that recruit by force—through abduction or pressganging—use rape to create unit cohesion. State weakness and insurgent contraband funding are also associated with increased wartime rape by rebel groups. I examine observable implications of the argument in a brief case study of the Sierra Leone civil war. The results challenge common explanations for wartime rape, with important implications for scholars and policy makers.

Information

Type
Research Article
Copyright
Copyright © American Political Science Association 2013 
Figure 0

TABLE 1. Combatant Socialization: Recruitment, Unit Cohesion, and Violence Outcomes

Figure 1

TABLE 2. Explaining Wartime Rape: Arguments, Hypotheses, and Data Sources

Figure 2

TABLE 3. Rape during Civil War: Ordered Probit Results

Figure 3

FIGURE 1. Probability of Insurgent-Perpetrated Wartime Rape with and without AbductionNote: Ordered probit model with standard errors clustered by conflict. Each simulation includes ethnic war, magnitude of state failure, aim, fertility rate, genocide by insurgents, contraband, Polity2, duration, year, and population (log) (all set at their mean values). The error bars represent the 95% confidence interval for each predicted probability value. Estimates calculated using CLARIFY. Two-tailed t-tests show that the differences in the mean predicted probabilities at levels 0, 1, and 2 are statistically significant at the 5% or 10% level. The difference between the mean predicted probability values for level 3 wartime rape falls just short of statistical significance (p = 0.13).

Figure 4

FIGURE 2. Probability of State-Perpetrated Wartime Rape with and without PressgangingNote: Ordered probit model with standard errors clustered by conflict. Each simulation includes ethnic war, magnitude of state failure, aim, fertility rate, genocide by state actors, troop quality (log), Polity2, duration, year, and population (log) (all set at their mean values). The error bars represent the 95% confidence interval for each predicted probability value. Estimates calculated using CLARIFY. Two-tailed t-tests show that the differences in the mean predicted probabilities at levels 0, 1, and 2 are statistically significant at the 1% or 5% level. The difference between the mean predicted probability values for level 3 wartime rape is not statistically distinguishable from zero (p = 0.26).

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