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

Manta A., Ho A. T., Huynh K. P., Jacho-Chávez D. T.

Statistics and Probability Letters, vol.183, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 183
  • Publication Date: 2022
  • Doi Number: 10.1016/j.spl.2021.109331
  • Journal Name: Statistics and Probability Letters
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, MathSciNet, zbMATH, DIALNET
  • Keywords: Multilayered networks, Multiplex networks, Peer effects, Instrumental variable, Consumer credit
  • TED University Affiliated: No

Abstract

© 2021 Elsevier B.V.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.