摘要翻译：
本文给出了具有多元第一阶段和第二阶段的不可分三角模型的一个一般的非参数点辨识结果。在此基础上，我们证明了具有多变量异质性和内生可观测特征的享乐模型的点辨识，推广和补充了文献中均要求具有外源性的辨识结果。作为我们理论结果的附加应用，我们证明了BLP模型（Berry et al.1995)也可以在没有指标限制的情况下辨识。
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英文标题：
《Point-identification in multivariate nonseparable triangular models》
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作者：
Florian Gunsilius
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最新提交年份：
2018
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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 article we introduce a general nonparametric point-identification result for nonseparable triangular models with a multivariate first- and second stage. Based on this we prove point-identification of Hedonic models with multivariate heterogeneity and endogenous observable characteristics, extending and complementing identification results from the literature which all require exogeneity. As an additional application of our theoretical result, we show that the BLP model (Berry et al. 1995) can also be identified without index restrictions.
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PDF链接：
https://arxiv.org/pdf/1806.09680