Causality in Comparative Policy Analysis: Introduction to a Special Issue of the JCPA

G. Fontaine, I. Geva‐May
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引用次数: 1

Abstract

Abstract The problem raised by causality in comparative policy analysis is twofold. First, how can we be sure there is actually a causal relationship between two variables, factors or events? Second, what do we really know about the causal forces, the individual motivations and the institutions at work between the alleged explanandum and the explanans (and vice versa)? The answer to these questions depends on whether we intend to predict what can or will happen if the same cause is present at different points in time or space, or whether we are willing to explain a causal process linking a trigger (i.e. a cause, a factor or a determinant) to an outcome, a result or an effect. To contribute to the discussion, we build on a typology of models of causation, coined as “regularity” (if causality is about generalizations based on constant variations), “necessity” (if it is about causal powers at work in contingent situations), “ideal-type” (if it is about historical patterns or chains of events), and “social construction” (if it is about actors’ frames and values). Each model fulfills a different purpose when addressing causality. The article explains how these models work and command the selection and utilization of the methods. This introduction discusses the contribution to the discussion made by the four articles included in this special issue, which are organized by model of causation.
比较政策分析中的因果关系:JCPA特刊导论
比较政策分析中的因果关系问题是双重的。首先,我们如何确定两个变量、因素或事件之间确实存在因果关系?其次,我们对所谓的解释者和被解释者之间的因果力量、个人动机和起作用的制度(反之亦然)到底了解多少?这些问题的答案取决于我们是否打算预测如果同一原因在不同的时间或空间出现会发生什么,或者我们是否愿意解释将触发因素(即原因、因素或决定因素)与结果、结果或效果联系起来的因果过程。为了促进讨论,我们建立了因果关系模型的类型学,创造了“规律性”(如果因果关系是基于不断变化的概括),“必要性”(如果它是关于偶然情况下的因果力量),“理想类型”(如果它是关于历史模式或事件链)和“社会构建”(如果它是关于演员的框架和价值观)。在处理因果关系时,每个模型都有不同的目的。本文阐述了这些模型的工作原理,并指导了方法的选择和使用。这篇引言讨论了本期特刊中包含的四篇文章对讨论的贡献,这些文章是按因果关系模型组织的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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