The assessment of performance and potential is central to decisions pertaining
to the location of bank branches. A common method for evaluating branch performance
is data envelope analysis in which in-branch variables are typically considered.
This paper adopts an alternate methodology that quantifies the influence of local
socio-economic variables on bank deposits (a common measure of performance) using
linear mixed models (LMM). It also illustrates the potential of using LMM to build
a predictive model to support branch location decisions.
«