The ability to predict the choices of prospective passengers allows airlines to alleviate the need for overbooking flights and subsequently bumping passengers, potentially leading to improved customer satisfaction. Past studies have typically focused on identifying the important factors that influence choice behaviors and applied discrete choice framework models to model passengers’ airline cho...

Random utility models are widely used to estimate preference parameters. In the case of intertemporal choice, two most common discounted logit and one we call Luce. Due their apparent similarity, choice use model or other seems irrelevant. this paper, argue that Luce is superior in significant aspects. First, relevant applications, monotone sense Apesteguia Ballester (2018), while not. Second, ...

Schelling (1978) suggested a simple binary choice model to explain the variation of corruption levels across societies. His basic idea was that expected profitability

We provide a simple necessary and suffi cient condition for when a multiproduct demand system can be generated from a discrete choice model with unit demands.

SUMMARY. A rich class of parametric models is proposed for discrete choice data based on the scale mixtures of multivariate normal distributions. With special connections to multinomial probit, the new models can be implemented in a Bayesian framework without much diiculty. The proposed class of models can be extended to panel data where accounting for heterogeneities is needed. This is done by...

M supermarket firms choose to position themselves by offering either everyday low prices (EDLP) across several items or offering temporary price reductions (promotions) on a limited range of items. While this choice has been addressed from a theoretical perspective in both the marketing and economic literature, relatively little is known about how these decisions are made in practice, especiall...