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 ...

This paper describes the use of backpropagation artificial neural networks to forecast travel demand from disaggregate discrete choice data and compares them with logit models. Three data sets are ...

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.

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The document presents an innovative analysis of ethanol demand, emphasizing the significant role of spatially ...