Logistic Regression: An introduction to statistical model with an example on Revolving Credit

This textbook is an introduction to Logistic Regression statistical model illustrated by and example on revolving credit. The research was supported on a database consisting by payment behavior of 4 000 credit cards users and their characteristics, being 2000 good and 2000 bad accounts. 80% of the sample was used as in-sample to determine the parameters of the model and the hold-out- sample was used to confirm the robustness of the model. The book is a practical guide for those wanting to use it as reference for academic purposes as well as to credit scoring experts.