Discrete Choice Analysis with R

1. Data, Models, and Software.- 2. Exploratory Data Analysis.- 3. Fundamental Concepts.- 4. 4 Logit.- 5. Practical Issues in the Specification and Estimation of Discrete Choice Models.- 6. Behavioral Insights from Choice Models.- 7. Non-Proportional Substitution Patterns I: Generalized Extreme Value Models.- 8. Non-Proportional Substitution Patterns II: The Probit Model.- 9. Dealing with Heterogeneity I: The Latent Class Logit Model.- 10 Dealing with Heterogeneity II: The Mixed Logit Model.- 11. Models for Ordinal Responses.- Epilogue.- References