Predicting Consumer Reaction To Online Privacy Concerns: A Nested Logit Model

Predicting Currency Crises with a Nested Logit Model

This paper is the first to apply a nested logit model to measure the probabilities of speculative attacks and the probabilities of successful defenses by the central banks. This model allows us to predict not only the probability of speculative attacks but also the probability of successful defenses given attacks. Also, it provides a framework to analyze the degree to which different factors af...

Online Supplement Constrained Assortment Optimization for the Nested Logit Model

The Generalized Nested Logit Model

The generalized nested logit model is a new member of the generalized extreme value family of models. The GNL provides a higher degree of flexibility in the estimation of substitution or cross-elasticity between pairs of alternatives than previously developed generalized extreme value models. The generalized nested logit model includes the paired combinatorial logit and cross-nested logit model...

A Nested Logit Model of Coffee Purchase

On a shopping trip to a supermarket a customer may purchase a product in a given category and, if so, buys a particular brand. A previous paper by the authors models the brand choice part of this process. A multinomial logit model describes the selection of brand and size given that the customer makes a category purchase. Explanatory variables include store actions, such as price and promotion,...

Consumer online privacy concerns and responses: a power–responsibility equilibrium perspective

We use the Power–Responsibility Equilibrium (PRE) framework and advance that consumers balance perceived deficits in privacy protection by power holders (businesses and regulators) with defensive actions. In our model, consumer privacy concern is the endogenous mediating entity linking business policy and regulatory perceptions to negative online user responses. The model was empirically tested...