When design decisions are informed by consumer choice models, uncertainty in the choice model and its share predictions creates uncertainty for the designer. We take a first step in investigating the variation in and accuracy of market share predictions by characterizing fit and forecast accuracy of multinomial logit, mixed logit, and nested logit models over a variety of utility function speci...

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,...

Objectives: This exploratory study sought to investigate the impact of cognitive functioning on the consistency of individual responses to a DCE study conducted exclusively with older people. Methods: A DCE to investigate preferences for multidisciplinary rehabilitation was administered to a consenting sample of older patients (aged 65 years and over) following surgery to repair a fractured hip...

In this article, we propose generalized two-parameter (GTP) estimators and an algorithm for the estimation of shrinkage parameters to combat multicollinearity in multinomial logit regression model. addition, mean squared error properties are derived. A simulation study is conducted investigate performance proposed different sample sizes, degrees multicollinearity, number explanatory variables. ...

This study analyzed the factors affecting propensity internal migration of Indonesian elderly based on age classification elderly, i.e., young middle or old elderly. It used multinomial logit model that explored affect interaction between and external migration. was chosen beacuse dependent variable had polichotomous scale, nominal ordinal scale with more than two categories. The estimation res...

In 2011, Lake Erie experienced a record-setting harmful algal bloom (HAB), posing significant risks to ecosystem services, including its $1.5 billion sport fishing industry. Using a mail survey of 3,000 Ohio recreational anglers and a choice experiment, this article provides the first empirical evidence in the US to link HABs to damages to Great Lakes recreational anglers. We account for the he...