Political researchers are often confronted with unordered categorical variables, such as the
vote-choice of a particular voter in a multiparty election. In such situations, researchers must …

Several recent studies of voter choice in multiparty elections point to the advantages of
multinomial probit (MNP) relative to multinomial/conditional logit (MNL). We compare the …

Mixed logit (MXL) is a general discrete choice model thus far unexamined in the study of
multicandidate and multiparty elections. Mixed logit assumes that the unobserved portions of …

Theory: The spatial model of elections can better be represented by using conditional logit
models which consider the position of the parties in issue spaces than by multinomial logit …

In political science, there are many cases where individuals make discrete choices from
more than two alternatives. This paper uses Monte Carlo analysis to examine several …

While the derivation and estimation of heterogeneous choice models appears
straightforward, the properties of such models are not well understood. We present …

MNP is a publicly available R package that fits the Bayesian multinomial probit model via
Markov chain Monte Carlo. The multinomial probit model is often used to analyze the …

This study provides a Bayesian investigation of rank‐ordered multinominal logit models
employing conjugate priors for standard multinomial logit models as well as other priors …

The multinomial logit model is perhaps the most commonly used regression model for
nominal outcomes in the social sciences. A concern raised by many researchers, however …

Questions of causation are important issues in empirical research on political behavior. Most
of the discussion of the econometric problems associated with multiequation models with …