Estimating Social Effects in a Multilayered Linear-in-Means Model with Network Data
Authors: A. Manta, A.T.Y. Ho, K.P. Huynh, D.T. Jacho-Chavez
Publication: Statistics & Probability Letters, 109331
DOI: 10.1016/j.spl.2021.109331
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 CAD for an extra 1 CAD owed by surrounding neighbors.
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