The transformation of credit scores into probabilities of default plays an important role in credit risk estimation. The linear logistic regression has developed into a standard calibration approach in the banking sector. With the advent of machine learning techniques in the discriminatory phase...

While recent literature has pointed out that migrants ́remittances have a positive impact on savings with financial institutions, findings with respect to access to and the use of loans have been ambiguous. This paper investigates whether the reception of remittances facilitates taking up loans...

Multinomial logit is the canonical model of discrete choice but widely criticized for requiring functional form assumptions as foundation. The present paper shows that logit is behaviorally founded without such assumptions. Logit's functional form obtains if relative choice probabilities are...