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 …

This article describes the statistical models commonly used to study discrete choices. It
concentrates on the 'basic'discrete choice models, and the theoretical choice situations that …

Of the commonly used discrete choice models, the probit class allows flexible covariance
structures for disturbances but is computationally burdensome for problems with more than a …

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

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 …

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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 …

Social scientists are often confronted with theories where one or more actors make choices
over finite sets of options leading to a finite set of outcomes. Such theories have addressed …

Social scientists are often confronted with theories in which one or more actors make
choices over a discrete set of options. In this article, I generalize a broad class of statistical …