Knowledge of customer valuation of flight characteristics is important for carriers to decide on service and price levels. It may also be important for regulators to have some knowledge of customer valuation of flight characteristics, as this customer valuation determines to what extent individual flights are substitutes. Furthermore, valuation of characteristics may play a role in infrastructu...

0965-8564/$ see front matter 2012 Elsevier Ltd doi:10.1016/j.tra.2012.01.007 ⇑ Corresponding author. Tel.: +1 647 638 5450. E-mail addresses: taha.hosseinrashidi@utoronto. 1 Tel.: +1 312 996 0962; fax: +1 312 996 2426. 2 Tel.: +1 312 996 9840; fax: +1 312 996 2426. Residential location search has become an important topic to both practitioners and researchers as more detailed and disaggregate l...

In new product design, risk averse firms must consider downside risk in addition to expected profitability, since some designs are associated with greater market uncertainty than others. We propose an approach to robust optimal product design for profit maximization by introducing an α-profit metric to manage expected profitability vs. downside risk due to uncertainty in market share prediction...

Logit Kernel is a discrete choice model that has both probit-like disturbances as well as an additive i.i.d. extreme value (or Gumbel) disturbance à la multinomial logit. The result is an intuitive, practical, and powerful model that combines the flexibility of probit (and more) with the tractability of logit. For this reason, logit kernel has been deemed the “model of the future” and is becomi...

This paper is an updated version of the paper \Discrete choice models with multiplicative error terms" by Fosgerau and Bierlaire (2006). We propose a multiplicative speci cation of a discrete choice model that renders choice probabilities independent of the scale of the utility. The scale can thus be random with unspeci ed distribution. The model mostly outperforms the classical additive formul...

Assortment optimization problems arise widely in many practical applications such as retailing and online advertising. In this problem, the goal is to select a subset from a universe of substitutable items to offer to customers in order to maximize the expected revenue. The demand of any item depends on the substitution behavior of the customers that is captured mathematically by a choice model...

Categorical data frequently arise in applications in the social sciences. In such applications,the class of log-linear models, based on either a Poisson or (product) multinomial response distribution, is a flexible model class for inference and prediction. In this paper we consider the Bayesian analysis of both Poisson and multinomial log-linear models. It is often convenient to model multinomi...

This paper is concerned with clustering in demand. We present a discrete choice model of consumption that incorporates habit formation and information exchange among consumers in fixed social networks. We provide an analytical solution to a special case of the model by using technical tools from chemistry and biology. We demonstrate the validity of these results for the general case numerically...