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摘要翻译：
在实际环境中，回归不连续(RD)设计经常受到单元操作其处理分配的行为的污染。然而，在这样一个受污染的研发设计中，我们没有正式的理由进行点识别。诊断测试已经被提出来检测操纵，但如果没有一些辅助假设，它们不能保证识别，辅助假设也没有被提出。这项研究提出了一套可能被操纵的RD设计的限制，以验证点识别和诊断测试。当验证诊断测试时，相同的限制同时验证最坏情况的界限。因此，我们的设计是操作鲁棒的测试和识别。最坏情况的界限有两个较短的界限作为特例，我们将特例界限应用于关于Lee(2008)研究的美国众议院选举现任率研究的争议。
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英文标题：
《Manipulation-Robust Regression Discontinuity Designs》
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作者：
Takuya Ishihara and Masayuki Sawada
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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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一级分类：Statistics 统计学
二级分类：Methodology 方法论
分类描述：Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计，调查，模型选择，多重检验，多元方法，信号和图像处理，时间序列，平滑，空间统计，生存分析，非参数和半参数方法
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英文摘要：
Regression discontinuity (RD) design in a practical context is often contaminated by units' behavior to manipulate their treatment assignment. However, we have no formal justification for point identification in such a contaminated RD design. Diagnostic tests have been proposed to detect manipulations, but they do not guarantee identification without some auxiliary assumptions, and the auxiliary assumptions have not been proposed. This study proposes a set of restrictions for possibly manipulated RD designs to validate point identification and diagnostic tests. The same restrictions simultaneously validate worst-case bounds when the diagnostic tests are validated. Therefore, our designs are manipulation robust in testing and identification. The worst-case bounds have two shorter bounds as special cases, and we apply special-case bounds to a controversy regarding the incumbency margin study of the U.S. House of Representatives elections studied in Lee (2008).
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PDF链接：
https://arxiv.org/pdf/2009.07551
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