Mixture Models: Simulation-based Estimation

This lecture covers mixture models, including their definition and examples, such as discrete and continuous mixtures. It explores the concept of mixtures of logit models and the simulation-based estimation of parameters. The instructor discusses the motivation behind using mixture models to capture the complexity of heterogeneous populations and taste heterogeneity.