This paper discusses the interpretative benefits that arise from merging the Dirichlet- multinomial (DM) model as a loyalty variable in the multinomial logit (MNL) model of brand choice. The estimated ...

We consider assortment and price optimization problems under the d-level nested logit model. In the assortment optimization problem, the goal is to find the revenue-maximizing assortment of products ...

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.

Citations: Abdallah, Tarek, Gustavo Vulcano. 2021. Demand Estimation under the Multinomial Logit Model from Sales Transaction Data. Manufacturing and Service Operations Management. (5)1196--1216.

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 ...