摘要翻译：
许多经济活动都嵌入到网络中：一组代理和（通常）将它们相互联系起来的竞争关系。在众多的网络经济活动中，企业的投入来源、银行间借贷、科学研究和求职是四个例子。基于网络结构是结果性的前提，本章描述了分析网络结构的计量经济学方法。我强调：（一）并元回归分析，其中包括未观察到的特定代理的异质性和支持因果推断；（二）估计和推断概要网络参数（例如，度分布或传递性指数）的技术；和(iii)战略网络形成的经验模型，承认偏好的相互依赖。本文还讨论了当前研究面临的挑战和有待解决的问题。
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英文标题：
《Network Data》
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作者：
Bryan S. Graham
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最新提交年份：
2019
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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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一级分类：Statistics        统计学
二级分类：Methodology        方法论
分类描述：Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计，调查，模型选择，多重检验，多元方法，信号和图像处理，时间序列，平滑，空间统计，生存分析，非参数和半参数方法
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英文摘要：
  Many economic activities are embedded in networks: sets of agents and the (often) rivalrous relationships connecting them to one another. Input sourcing by firms, interbank lending, scientific research, and job search are four examples, among many, of networked economic activities. Motivated by the premise that networks' structures are consequential, this chapter describes econometric methods for analyzing them. I emphasize (i) dyadic regression analysis incorporating unobserved agent-specific heterogeneity and supporting causal inference, (ii) techniques for estimating, and conducting inference on, summary network parameters (e.g., the degree distribution or transitivity index); and (iii) empirical models of strategic network formation admitting interdependencies in preferences. Current research challenges and open questions are also discussed.
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PDF链接：
https://arxiv.org/pdf/1912.06346