Robustness of Empirical Evidence for the Democratic Peace: A Nonparametric Sensitivity Analysis

被引:11
作者
Imai, Kosuke [1 ]
Lo, James [2 ]
机构
[1] Harvard Univ, Govt & Stat, Cambridge, MA 02138 USA
[2] Univ Southern Calif, Polit Sci, Los Angeles, CA 90089 USA
关键词
Causal inference; Cornfield condition; observational studies; unobserved confounding; INTERNATIONAL CONFLICT; INTERSTATE CONFLICT; CAUSAL INFERENCE; LIBERAL PEACE; WAR; INTERDEPENDENCE; IDENTIFICATION; VARIABLES; SELECTION; KANT;
D O I
10.1017/S0020818321000126
中图分类号
D81 [国际关系];
学科分类号
030207 ;
摘要
The democratic peace-the idea that democracies rarely fight one another-has been called "the closest thing we have to an empirical law in the study of international relations." Yet, some contend that this relationship is spurious and suggest alternative explanations. Unfortunately, in the absence of randomized experiments, we can never rule out the possible existence of such confounding biases. Rather than commonly used regression-based approaches, we apply a nonparametric sensitivity analysis. We show that overturning the negative association between democracy and conflict would require a confounder that is forty-seven times more prevalent in democratic dyads than in other dyads. To put this number in context, the relationship between democracy and peace is at least five times as robust as that between smoking and lung cancer. To explain away the democratic peace, therefore, scholars would have to find far more powerful confounders than those already identified in the literature.
引用
收藏
页码:901 / 919
页数:19
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