Instrumental Variable Methods for Conditional Effects and Causal Interaction in Voter Mobilization Experiments
选民动员实验中条件效应与因果交互的工具变量方法AI 解读 ↓
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选民动员实验中条件效应与因果交互的工具变量方法
- 研究问题
- 选民动员实验存在不依从时，如何估计多次接触的条件效应及因果交互，以区分协同增效与边际回报递减？
- 方法与思路
- 作者将传统工具变量框架扩展至多组处理与工具变量配对，以估计条件和交互效应，并分析两项选民动员现场实验。
- 材料陈述的贡献
- 摘要称，该扩展突破既有不依从分析对因果交互的限制；两项实验提供后续接触回报递减的证据，并提示相关实验设计问题。
- 阅读关注点
- 核对多个工具变量的识别条件、条件效应与交互效应的目标人群及定义，以及实验设计如何支持这些效应的估计。
- 阅读边界
- 摘要未说明完整识别假设、效应大小或不确定性，不能把两项实验结论普遍化；OpenAlex 摘要版本未注明，无法核实刊本变化。
原文摘要
In democratic countries, voting is one of the most important ways for citizens to influence policy and hold their representatives accountable. And yet, in the United States and many other countries, rates of voter turnout are alarmingly low. Every election cycle, mobilization efforts encourage citizens to vote and ensure that elections reflect the true will of the people. To establish the most effective way of encouraging voter turnout, this article seeks to differentiate between (1) the synergy hypothesis that multiple instances of voter contact increase the effectiveness of a single form of contact, and (2) the diminishing returns hypothesis that multiple instances of contact are less effective or even counterproductive. Remarkably, previous studies have been unable to compare these hypotheses because extant approaches to analyzing experiments with noncompliance cannot speak to questions of causal interaction. I resolve this impasse by extending the traditional instrumental variables framework to accommodate multiple treatment–instrument pairs, which allows for the estimation of conditional and interaction effects to adjudicate between synergy and diminishing returns. The analysis of two voter mobilization field experiments provides the first evidence of diminishing returns to follow-up contact and a cautionary tale about experimental design for these quantities. Supplementary materials for this article are available online.