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摘要翻译：
本文探讨了模糊回归间断设计的应用，其中在阈值处应用多重处理。识别结果表明，在很强的假设下，在截断处处理概率的变化在处理之间是相等的，间断差估计器识别了感兴趣的处理效果。如果在截断处应用处理的概率的变化在不同处理之间不同，则使用简单模糊不连续差设计对处理效果的点估计是有偏差的。本文还提出了依赖于较温和假设的模糊间断差法的修正。我们的结果表明，在存在模糊不连续性的情况下，应用前后方法时需要谨慎。利用国家健康访谈调查的数据，我们应用这种新的识别策略来评估《患者保护与平价医疗法案》(ACA)对美国老年人医疗保健获得和利用的因果影响。
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英文标题：
《Fuzzy Difference-in-Discontinuities: Identification Theory and
Application to the Affordable Care Act》
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作者：
Hector Galindo-Silva, Nibene Habib Some and Guy Tchuente
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最新提交年份：
2021
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分类信息：
一级分类：Economics 经济学
二级分类：Econometrics 计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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英文摘要：
This paper explores the use of a fuzzy regression discontinuity design where multiple treatments are applied at the threshold. The identification results show that, under the very strong assumption that the change in the probability of treatment at the cutoff is equal across treatments, a difference-in-discontinuities estimator identifies the treatment effect of interest. The point estimates of the treatment effect using a simple fuzzy difference-in-discontinuities design are biased if the change in the probability of a treatment applying at the cutoff differs across treatments. Modifications of the fuzzy difference-in-discontinuities approach that rely on milder assumptions are also proposed. Our results suggest caution is needed when applying before-and-after methods in the presence of fuzzy discontinuities. Using data from the National Health Interview Survey, we apply this new identification strategy to evaluate the causal effect of the Affordable Care Act (ACA) on older Americans' health care access and utilization.
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PDF链接：
https://arxiv.org/pdf/1812.06537
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