摘要翻译：
在网络干扰下的项目评估研究中，正确测量网络干预的溢出效应对于制定相应的政策建议至关重要。然而，越来越多的经验证据表明，网络链接往往是以误差来衡量的。本文探讨了当网络被误判时处理和溢出效应的识别和估计。提出了一种新的非参数点识别处理和溢出效应的方法，当有两个网络观测值时。该方法可以处理具有缺失或误报链路的大型网络，并具有以下几个吸引人的特点：(i)允许异构处理和溢出效应；(ii)它不依赖于建模、网络形成或其错误分类的概率；并且(iii)它适应以重叠方式相关的样本。提出了一种半参数估计方法，并应用该方法研究了保险信息计划对保险采纳决策的溢出效应。
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英文标题：
《Spillovers of Program Benefits with Mismeasured Networks》
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作者：
Lina Zhang
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最新提交年份：
2020
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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 studies of program evaluation under network interference, correctly measuring spillovers of the intervention is crucial for making appropriate policy recommendations. However, increasing empirical evidence has shown that network links are often measured with errors. This paper explores the identification and estimation of treatment and spillover effects when the network is mismeasured. I propose a novel method to nonparametrically point-identify the treatment and spillover effects, when two network observations are available. The method can deal with a large network with missing or misreported links and possesses several attractive features: (i) it allows heterogeneous treatment and spillover effects; (ii) it does not rely on modelling network formation or its misclassification probabilities; and (iii) it accommodates samples that are correlated in overlapping ways. A semiparametric estimation approach is proposed, and the analysis is applied to study the spillover effects of an insurance information program on the insurance adoption decisions.
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PDF链接：
https://arxiv.org/pdf/2009.09614