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雷达卡
摘要翻译：
在本文中，我们建立了内生和多值离散治疗环境中，具有未观察到的异质性的治疗对连续结果影响的充分条件。我们对多值离散处理和工具采用单调性假设，我们的辨识条件有明确的经济解释。我们的结果与Chernozhukov和Hansen(2005)的相关工作进行了对比。此外，我们还识别了多值处理环境下的局部处理效应，并导出了所识别的处理效应的闭式表达式。我们提供了例子来说明我们的结果是有用的。
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英文标题：
《Identification of multi-valued treatment effects with unobserved
heterogeneity》
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作者：
Koki Fusejima
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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：
In this paper, we establish the sufficient conditions for identifying treatment effects on continuous outcomes in endogenous and multi-valued discrete treatment settings with unobserved heterogeneity. We employ the monotonicity assumption for multi-valued discrete treatments and instruments, and our identification condition has clear economic interpretation. Our result contrasts with related work by Chernozhukov and Hansen (2005) with regard to this. In addition, we identify the local treatment effects in multi-valued treatment settings and derive a closed-form expression of the identified treatment effects. We provide examples to illustrate the usefulness of our result.
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PDF链接：
https://arxiv.org/pdf/2010.04385
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