DCM (Discrete Choice Models) is a package, written in Ox, for estimating a class of discrete choice models. DCM represents an important development for both the OxMetric and, more generally, microeconometric computing environment in making available a broad range of discrete choice models, including standard binary response models, with notable extensions including conditional mixed logit, mixe...

A growing body of empirical literature uses structurally-derived economic models to study the nature of competition and to measure explicitly the economic impact of strategic policies. While several approaches have been proposed, the discrete choice demand system has experienced wide usage. The heterogeneous, or ‘‘mixed’’, logit in particular has been widely applied due to its parsimonious stru...

The genesis of new statistical models has rarely been within the field of marketing research. Marketing researchers have mainly borrowed from other fields. Conjoint analysis and the more recent discrete choice or choice-based conjoint methods are no exception. Conjoint methods were based on work in the sixties by mathematical psychologists and statisticians Luce and Tukey (1964), and discrete c...

A growing body of empirical literature uses structurally-derived economic models to study the nature of competition and to measure explicitly the economic impact of strategic policies. While several approaches have been proposed, the discrete choice demand system has experienced wide usage. The heterogeneous, or ‘‘mixed’’, logit in particular has been widely applied due to its parsimonious stru...

This paper presents a method for inferring the distribution of voter ideal points on a single dimension from individual-level binary choice data. The statistical model and estimation technique draw heavily on the psychometric literature on test taking and, in particular, on the work of Bock and Aitkin (1981) and are similar to several recent methods of estimating legislative ideal points (Londr...