Identification of peer effects via a root estimator

Xiaodong Liu

Economics Letters, 2017, vol. 156, issue C, 168-171

Abstract: By exploiting the correlation structure of individual outcomes in a network, we show that a carefully constructed root estimator can identify peer effects in linear social interaction models, when identification cannot be achieved via variation of group sizes or intransitivity of network connections. We establish the consistency and asymptotic normality of the root estimator under heteroskedasticity, and conduct Monte Carlo experiments to investigate its finite sample performance.

Keywords: Complete networks; Linear-in-means models; Social interaction (search for similar items in EconPapers)
JEL-codes: C31 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:156:y:2017:i:c:p:168-171

DOI: 10.1016/j.econlet.2017.05.010

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