We develop SHOPPER, a sequential probabilistic model of shopping data. SHOPPER uses
interpretable components to model the forces that drive how a customer chooses products; …

This book describes the new generation of discrete choice methods, focusing on the many
advances that are made possible by simulation. Researchers use these statistical methods …

Discrete Choice Analysis presents these results in such a way that they are fully accessible
to the range of students and professionals who are involved in modelling demand and …

Neuroeconomics uses knowledge about brain mechanisms to inform economic analysis,
and roots economics in biology. It opens up the “black box” of the brain, much as …

What do phone rates, frequent flyer programs, and railroad tariffs all have in common? They
are all examples of nonlinear pricing. Pricing is nonlinear when it is not strictly proportional …

We study a class of assortment optimization problems where customers choose among the
offered products according to the nested logit model. There is a fixed revenue associated …

Many important economic questions hinge on the extent to which new goods either crowd
out or complement consumption of existing products. Recent methods for studying new …

Several major environmental statutes enacted in the 1970s designate resource
management agencies as trustees of the natural resources on behalf of the public, and …

We consider the problem of pricing multiple differentiated products with the nested logit
model and, as a special case, the multinomial logit model. We prove that concavity of the …

Discrete choice methods model a decision-maker's choice among a set of mutually
exclusive and collectively exhaustive alternatives. They are used in a variety of disciplines …