The multinomial probit (MNP) model is a primary application for combining simulation with estimation. Indeed, McFadden (1989) featured the MNP model in his seminal paper. As random utility model, the MNP model offers a highly desirable flexibility in substitution among alternatives that its chief rival, the multinomial logit model, fails to possess. The unrestricted character of the variance ma...

Multinomial and ordered Logit models are quantitative techniques which are used in a range of disciplines nowadays. When applying these techniques, practitioners usually select a single model using either information-based criteria or pretesting. In this paper, we consider the alternative strategy of combining models rather than selecting a single model. Our strategy ofweight choice for the can...

The paper illustrates how to use the MCMC procedure to fit a hierarchical, multinomial logit model for a nominal response variable with correlated responses in a Bayesian framework. In particular, the paper illustrates how to perform three important parts of Bayesian model fitting. First, to make sure appropriate prior distributions are selected, the paper shows how to simulate draws directly f...

Motivated by generating personalized recommendations using ordinal (or preference) data, we study the question of learning a mixture of MultiNomial Logit (MNL) model, a parameterized class of distributions over permutations, from partial ordinal or preference data (e.g. pair-wise comparisons). Despite its long standing importance across disciplines including social choice, operations research a...

this paper discusses the study of community’s preferences for biodiversity conservation management institution which may motivate them to support conservation efforts in the okwangwo division of the cross river national park, nigeria. the empirical data was generated from personal interviews and factors influencing the respondents’ choice were examined with the aid of multinomial logit mode...