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Identification of Nonseparable Triangular Models With Discrete Instruments

机译:用离散仪器识别不可分离的三角模型

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We study the identification through instruments of a nonseparable function that relates a continuous outcome to a continuous endogenous variable. Using group and dynamical systems theories, we show that full identification can be achieved under strong exogeneity of the instrument and a dual monotonicity condition, even if the instrument is discrete. When identified, the model is also testable. Our results therefore highlight the identifying power of strong exogeneity when combined with monotonicity restrictions.
机译:我们研究了通过不可分离函数将连续结果与连续内生变量相关联的手段。使用群和动力学系统理论,我们表明即使在仪器是离散的情况下,也可以在强大的仪器外生性和双重单调条件下实现完全识别。识别后,该模型也是可测试的。因此,我们的结果突出了结合单调性限制时强外生性的识别能力。

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