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 …

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 …

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 …

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 …

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 …

We propose a unifying framework for multilevel modeling of polytomous data and rankings,
accommodating dependence induced by factor and/or random coefficient structures at …

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 …

The random coefficients multinomial choice logit model, also known as the mixed logit, has
been widely used in empirical choice analysis for the last thirty years. We prove that the …

This paper develops an estimator for models of election returns in multiparty elections. It
shares the same functional formas the Katz—King estimator but is computationally simpler …

This paper considers mixed, or random coefficients, multinomial logit (MMNL) models for
discrete response, and establishes the following results. Under mild regularity conditions …