External Validity in Fuzzy Regression Discontinuity Designs
External Validity in Fuzzy Regression Discontinuity Designs
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DOI：
10.1080/07350015.2018.1546590
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发表时间：
2019-03-22
影响因子：
3
通讯作者：
Imbens, Guido W.
中科院分区：
文献类型：
--
作者：
Bertanha, Marinho;Imbens, Guido W.
模糊回归不连续性设计确定了遵守者子群体的局部平均治疗效果（LATE），并且强迫变量等于阈值。我们开发了一些方法，可以在阈值处评估 LATE 对其他合规群体的外部有效性，并允许在阈值之外进行识别。具体来说，我们关注经过处理的遵守者和始终接受者之间以及未经处理的遵守者和从不接受者之间结果分布的平等。这些等式意味着预期结果的连续性取决于强迫变量和治疗状态。我们建议研究人员绘制这些条件期望并在阈值处测试不连续性以评估外部有效性。我们在 STATA 和 MATLAB 中提供新命令来实施我们提出的程序。
Fuzzy regression discontinuity designs identify the local average treatment effect (LATE) for the subpopulation of compliers, and with forcing variable equal to the threshold. We develop methods that assess the external validity of LATE to other compliance groups at the threshold, and allow for identification away from the threshold. Specifically, we focus on the equality of outcome distributions between treated compliers and always-takers, and between untreated compliers and never-takers. These equalities imply continuity of expected outcomes conditional on both the forcing variable and the treatment status. We recommend that researchers plot these conditional expectations and test for discontinuities at the threshold to assess external validity. We provide new commands in STATA and MATLAB to implement our proposed procedures.