{"title":"Estimating Local Network Externalities","authors":"Margherita Comola","doi":"10.2139/ssrn.946093","DOIUrl":null,"url":null,"abstract":"This paper illustrates a procedure to estimate externalities from indirect connections (so-called network externalities) using network data. This structural approach is suitable for static games of endogenous network formation with partial information, and relies on the equilibrium conditions of pairwise stability (Jackson and Wolinsky, 1996). Operationally, it consists in a two-step estimator which addresses omitted variable endogeneity. When the estimation protocol is applied to risk-sharing data within a Tanzanian village, results indicate that indirect connections matter. Network externalities are found to be negative, which can be interpreted as competition over scarce resources.","PeriodicalId":191636,"journal":{"name":"ERN: Other Development Economics: Microeconomic Issues in Developing Economies (Topic)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Development Economics: Microeconomic Issues in Developing Economies (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.946093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper illustrates a procedure to estimate externalities from indirect connections (so-called network externalities) using network data. This structural approach is suitable for static games of endogenous network formation with partial information, and relies on the equilibrium conditions of pairwise stability (Jackson and Wolinsky, 1996). Operationally, it consists in a two-step estimator which addresses omitted variable endogeneity. When the estimation protocol is applied to risk-sharing data within a Tanzanian village, results indicate that indirect connections matter. Network externalities are found to be negative, which can be interpreted as competition over scarce resources.
本文阐述了利用网络数据估计间接连接(所谓的网络外部性)的外部性的方法。这种结构方法适用于具有部分信息的内源性网络形成的静态博弈,依赖于两两稳定的均衡条件(Jackson and Wolinsky, 1996)。在操作上,它由一个两步估计组成,该估计解决了遗漏的变量内生性。当将估计协议应用于坦桑尼亚村庄的风险分担数据时,结果表明间接联系很重要。网络外部性是负面的,可以解释为对稀缺资源的竞争。