Estimating social effects in a multilayered Linear-in-Means model with network data

Alexandra Manta, Anson Ho (), Kim Huynh and David Jacho-Chávez

Statistics & Probability Letters, 2022, vol. 183, issue C

Abstract: This paper studies the identification and estimation of social parameters in a general version of the Linear-in-Means model commonly fitted in the Social Sciences with multilayered network data. A Monte Carlo exercise showcases its good small-sample properties while an empirical application to Canadian consumers’ credit usage demonstrates its applicability. Our estimates show that one’s credit-card balance increases by $0.31 for an extra $1 owed by surrounding neighbors.

Keywords: Multilayered networks; Multiplex networks; Peer effects; Instrumental variable; Consumer credit (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1016/j.spl.2021.109331

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