Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
type="main"> <p>We show FC-MNL is flexible in the sense of Diewert ([Diewert, E., 1974]), thus its parameters can be chosen to match a well-defined class of possible own- and cross-price elasticities of demand. In contrast to models such as Probit and Random Coefficient-MNL models, FC-MNL does not require estimation via simulation; it is fully analytic. Under well-defined and testable parameter restrictions, FC-MNL is shown to be an unexplored member of McFadden's class of Multivariate Extreme Value discrete-choice models. Therefore, FC-MNL is fully consistent with an underlying structural model of heterogeneous, utility-maximizing consumers. We provide a Monte-Carlo study to establish its properties and we illustrate its use by estimating the demand for new automobiles in Italy.