In the first row, for example, |$\beta _{1}$| reports the effect of the homophily dimension Same gender on client |$j$|’s likelihood of following advisor |$k$|’s recommendations in meeting |$i$| (LOF) for the group of female clients (i.e. Client male = 0), |$\beta _{1}+\beta _{3}$| reports the effect of Same gender for the subsample of male clients, and |$\beta _{3}$| shows the difference in the reported effects for male and female clients, respectively. To gauge the statistical significance of the estimated coefficients pertaining to (⁠|$\beta _{1} $|+ |$\beta _{3})$|⁠, each regression is rerun with rescaled values. All specifications are estimated with robust standard errors and include client characteristics and meeting controls as well as time fixed effects. ***, **, and * indicate statistical significance at the 1%, 5%, and 10% levels, respectively.