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摘要翻译：
本文研究了在不可转移效用(NTU)下并矢网络形成的半参数模型。NTU经常出现在需要双方同意的现实社会交往中，但其本质导致了附加的不可分离性。我们使用一种称为逻辑差分的新方法，展示了在我们的模型中如何在没有加性可分性的情况下消除未观察到的个体异质性。其关键思想是基于多元单调性，构造涉及两个互斥限制在未观察到的异质性上相交的事件。我们提出了一个一致性估计器，并通过仿真分析了它的性能，并将我们的方法应用于Nyakatoke风险分担网络。
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英文标题：
《Logical Differencing in Dyadic Network Formation Models with
Nontransferable Utilities》
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作者：
Wayne Yuan Gao, Ming Li, Sheng Xu
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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：
This paper considers a semiparametric model of dyadic network formation under nontransferable utilities (NTU). NTU arises frequently in real-world social interactions that require bilateral consent, but by its nature induces additive non-separability. We show how unobserved individual heterogeneity in our model can be canceled out without additive separability, using a novel method we call logical differencing. The key idea is to construct events involving the intersection of two mutually exclusive restrictions on the unobserved heterogeneity, based on multivariate monotonicity. We provide a consistent estimator and analyze its performance via simulation, and apply our method to the Nyakatoke risk-sharing networks.
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PDF链接：
https://arxiv.org/pdf/2001.00691
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