含残差指标结构的非参数联立方程模型辨识

Steven T. Berry, Philip A. Haile
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引用次数: 20

摘要

我们提出了一类由Matzkin(2008)引入的不可分离非参数联立方程模型的新的识别结果。这些模型结合了传统的排除限制和每个结构误差通过“残差指数”进入的要求。我们的识别结果是建设性的,并且包含了一系列特殊情况,这些情况对仪器提供的外生变化和结构误差的关节密度形状有不同的要求。这些结果中最重要的是,即使在仪器变化有限的情况下,也证明了识别。一个一般性的结果证明了一种形式意义,即相关的密度条件可以被视为温和的,即使仪器只在一个小的开放球上变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Nonparametric Simultaneous Equations Models with a Residual Index Structure
We present new identification results for a class of nonseparable nonparametric simultaneous equations models introduced by Matzkin (2008). These models combine traditional exclusion restrictions with a requirement that each structural error enter through a “residual index.” Our identification results are constructive and encompass a range of special cases with varying demands on the exogenous variation provided by instruments and the shape of the joint density of the structural errors. The most important of these results demonstrate identification even when instruments have limited variation. A genericity result demonstrates a formal sense in which the associated density conditions may be viewed as mild, even when instruments vary only over a small open ball.
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