Chapter 1. Introduction
Chapter 2. Properties of Discrete Choice Models
Chapter 3. Logit
Chapter4. GEV
Chapter 5. Probit
Chapter 6. Mixed Logit
Chapter 7. Variations on a Theme
Chapter8. Numerical Maximization
Chapter 9. Drawing from Densities
Chapter 10. Simulation-Assisted Estimation
Chapter 11. Individual-Level Parameters
Chapter 12. Bayesian Procedures
Chapter 13. Endogeneity
Chapter 14. EM AlgorithmsIndexBibliography