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 …

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 …

Logit and probit, the two most common techniques for estimation of models with a
dichotomous dependent variable, impose the assumption that individuals with a probability …

We propose a comprehensive statistical model for analyzing multiparty, district-level
elections. This model, which provides a tool for comparative politics research analogous to …

As the research methodology more closely approximates the causal process being
analyzed, the inferences and predictions derived from that methodology will better represent …

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 …

A general nonlinear logit model is used to analyze political choice data. The model assumes
probabilistic voting based on a spatial utility function. The parameters of the utility function …

Heterogeneity or the presence of a variety of decision rules in a population has usually been
ignored in voting research. A method for handling heterogeneous preferences using rank …

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 …