期刊
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
卷 31, 期 3, 页码 253-264出版社
AMER STATISTICAL ASSOC
DOI: 10.1080/07350015.2013.801251
关键词
Endogeneity; Linear-in-means model; Network formation
资金
- NSF [0631252, 0820361, 0961707]
- Direct For Social, Behav & Economic Scie
- Divn Of Social and Economic Sciences [0820361, 0631252] Funding Source: National Science Foundation
- Divn Of Social and Economic Sciences
- Direct For Social, Behav & Economic Scie [0961707] Funding Source: National Science Foundation
There is a large and growing literature on peer effects in economics. In the current article, we focus on a Manski-type linear-in-means model that has proved to be popular in empirical work. We critically examine some aspects of the statistical model that may be restrictive in empirical analyses. Specifically, we focus on three aspects. First, we examine the endogeneity of the network or peer groups. Second, we investigate simultaneously alternative definitions of links and the possibility of peer effects arising through multiple networks. Third, we highlight the representation of the traditional linear-in-means model as an autoregressive model, and contrast it with an alternative moving-average model, where the correlation between unconnected individuals who are indirectly connected is limited. Using data on friendship networks from the Add Health dataset, we illustrate the empirical relevance of these ideas.
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