Use of the principal component method in the maximum likelihood estimation procedure of the logit model

The maximum likelihood estimates of a qualitative response market are solved by an iterative procedure. When severe multicollinearity exists among the explanatory variables, this procedure may fail to converge. In this note, using a bank-failure model, we demonstrate how the principle component method can make the iterative procedure converge when it fails to do so in the untransformed model.