Web Analytics Made Easy -
    StatCounter
Estimating Social Effects in a Multilayered Linear-in-Means Model with Network Data | David Jacho-Chavez

Estimating Social Effects in a Multilayered Linear-in-Means Model with Network Data

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.

Publication
Statistics & Probability Letters, 109331