This is a course in econometric analysis of discrete data.
There are a huge variety of models that are used in this context. We will mainly focus on the fundamental model for multinomial choice, the multinomial logit model and its extensions, Latent Class models, Random parameter Logit models. Finally, some more advanced models like the Scale-adjusted Latent Class model and some hybrid choice models will be introduced. The course will consist of discussions and laboratory sessions which will apply the techniques to ‘live’ data sets and some time devoted to topics, discussions and laboratory work on student projects. Discussions will cover the topics listed below. Lab sessions will apply the techniques discussed in the preceding sessions. Practicals will consist of directed exercises and student assignments to be completed singly or in groups.