An Ordered Generalised Extreme Value Model with Application to Alcohol Consumption in Australia

Abstract

An Ordered Generalised Extreme Value (OGEV) model by Small (1987) is proposed for application to ordered discrete choice data. Relative to conventional Ordered Probit/Logit (OP/OL) and Multinomial Logit (MNL) models, the OGEV model is flexible, is defined by random utility maximization, and allows for correlation across choices via unobservable individual characteristics according to locations of the choices in the ordering. The OGEV model is applied to unit record data from Australia to study the impacts of prices, income and demographic characteristics on levels of alcohol consumption. Model selection analysis suggests that OGEV is preferred to both OP and MNL for the application.