Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Citations: Nevo, Aviv. 2000. A Practitioner's Guide to Estimation of Random-Coefficients Logit Models of Demand. Journal of Economics & Management Strategy. (4)513-548.

We show FC-MNL is flexible in the sense of Diewert (1974), thus its parameters can be chosen to match a well-defined class of possible own-and cross-price elasticities of demand. In contrast to models ...

If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Logistic Regression Using the SAS System: Theory and Application is for ...

Recently the nested multinomial logit (NMNL) model has been proposed to remedy the "independence of irrelevant alternatives" (IIA) property of the classical multinomial logit (MNL) model. The author ...