Paul Green, writing with Carmone and Wachpress (1976), was among the first scholars to introduce latent variable models to marketing by utilizing the CANDECOMP procedure (Carroll 1980) on contingency tables. A year later, Green, Carmone, and Wachpress (1977) introduced logit and log-linear...

We propose Multivariate Tobit models with a factor structure on the covariance matrix. Such models are particularly useful in the exploratory analysis of multivariate censored data and the identification of latent variables from behavioral data. The factor structure provides a parsimonious...

We develop a general class of factor-analytic models for the analysis of multivariate (truncated) count data. Dependencies in multivariate counts are of interest in many applications, but few approaches have been proposed for their analysis. Our model class allows for a variety of distributions...

Multivariate economic and business data frequently suffer from a missing data phenomenon that has not been sufficiently explored in the literature:b oth the independent and dependent variables for one or more dimensions are missing or absent for some of the observational units. For example, in...

Recent trends in marketing have demonstrated an increased focus on in-store expenditures with the hope of “grabbing consumers” at the point of purchase: but does it make sense‘ To help answer this question, the authors examine the interplay between in-store and out-of-store factors on...