We conduct Monte Carlo experiments to investigate the biases of assuming a misspecified demand model. We study continuous models (linear, log-linear and AIDS), and discrete choice models (logit) in ...

A computationally attractive model for the analysis of conjoint choice experiments is the mixed multinomial logit model, a multinomial logit model in which it is assumed that the coefficients follow a ...

What is a logit model? The term logit function is closely related to logistic and refers to the inverse of the logistic function. The logit function transforms the probability (between 0 and 1) into a ...

The receiver operator characteristic curve and area under the curve (AUC) are widely used in credit risk scoring. In this field, it is common to employ the logit model with maximum likelihood ...

We compare how logit (fixed effects) and probit early warning systems (EWS) predict insample and out-of-sample currency crises in emerging markets (EMs). We look at episodes of currency crises that ...