摘要翻译：
本文研究了Imbens和Angrist（1994）关于具有二元结果、二元处理和外生二元工具的模型中潜在结果分布的工具单调性假设的识别内容。具体地说，我导出了关于数据分布的充要条件，在这些充要条件下，当工具单调性假设被施加时，潜在结果分布的识别集可以是当工具单调性假设不被施加时的严格子集。
---
英文标题：
《On the Identifying Content of Instrument Monotonicity》
---
作者：
Vishal Kamat
---
最新提交年份：
2019
---
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。
--

---
英文摘要：
  This paper studies the identifying content of the instrument monotonicity assumption of Imbens and Angrist (1994) on the distribution of potential outcomes in a model with a binary outcome, a binary treatment and an exogenous binary instrument. Specifically, I derive necessary and sufficient conditions on the distribution of the data under which the identified set for the distribution of potential outcomes when the instrument monotonicity assumption is imposed can be a strict subset of that when it is not imposed.
---
PDF链接：
https://arxiv.org/pdf/1807.01661