Abstract
In this paper, logistic regression models containing random effects are explored as a means of simulating the decision process of commercial loan officers. Empirical Bayes estimates, determined with the EM Algorithm, are calculated for the random parameters. Analysis of data from a major Canadian bank is presented.
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