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What Happens Depends on When It Happens: Copula-Based Ordered Event History Analysis of Civil War Duration and Outcome

机译:发生什么取决于发生的时间:基于Copula的内战持续时间和结果的有序事件历史分析

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摘要

Scholars are interested in not just what event happens but also when the event happens. If there is dependence among events or dependence between time and events, however, the currently common methods (e.g., competing risks approaches) produce biased estimates. To deal with these problems, this article proposes a new method of copula-based ordered event history analysis (COEHA). A merit of working with copulas is that, whatever marginal distributions time and event variables follow (including the Cox model), researchers can derive whatever joint distribution exists between the two. Application of the COEHA model to a dataset from civil wars supports two controversial hypotheses. First, as wars become longer, rebel victory becomes more likely but settlement does not (there is dependence between time and events at both tails). Second, stronger rebels make wars shorter but do not necessarily tend to win, as experts predict but fail to establish (rebels' strength shortens time but has no effect on which events occur). Supplementary materials for this article are available online.
机译:学者不仅对事件发生什么感兴趣,而且对事件发生的时间也很感兴趣。但是,如果事件之间存在依存关系,或者时间与事件之间存在依存关系,则当前常用的方法(例如,竞争风险方法)会产生偏差估计。为了解决这些问题,本文提出了一种基于copula的有序事件历史分析(COEHA)的新方法。使用copulas的优点是,无论遵循什么边际分布时间和事件变量(包括Cox模型),研究人员都可以得出两者之间存在的任何联合分布。将COEHA模型应用于内战数据集支持两个有争议的假设。首先,随着战争的持续时间增加,反叛胜利的可能性变得更大,而解决方案却不会(在时间和事件之间都有依存关系)。第二,更强大的叛军使战争更短,但不一定会如专家所预测的那样胜利,但并没有建立(叛军的实力缩短了时间,但对发生的事件没有影响)。可在线获得本文的补充材料。

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