The authors compare the application of two logit models for the analysis of qualitative
marketing data. A weighted least squares logit model is compared with a maximum …

The author discusses the use of the linear logit model in marketing research. A brief review
of the linear logit model focuses on model formulation, estimation, evaluation, and inference …

This paper introduces a new estimation procedure for the logit model that is an extension of
a conditional estimation procedure developed by Chamberlain (Chamberlain, G. 1978. On …

Logit and log-linear models are new techniques for analyzing categorical data. Each of
these models is described and applied to a problem involving consumer adoption of a new …

This article presents a brief description of the development and use of log-linear models.
Current research in areas of screening effects, partitioning chi-square statistics, stepwise …

The purpose of this paper is to provide axiomatizations of the mixed logit model, 15 also
known as the random-coefficients logit model. The mixed logit model is one 16 of the most …

Recent work on the analysis of qualitative dependent variables having considerable
potential in marketing research are reviewed and illustrated. In particular, three related …

The authors argue that for the cross-sectional multiattribute approach to choice modeling,
the multinomial logit is theoretically and empirically superior to the more commonly used …

Multinomial logit analysis is a statistical technique for relating a set of continuous or discrete
independent variables to a categorical dependent variable. The availability of statistical …

This paper contrasts a classic example of a logit decision model with a widely used
descriptive model, the Dirichlet. Decision modeling, reviewed by Leeflang and Wittink in this …