Applied Choice Analysis

David A. Hensher is Professor of Management, and Founding Director of the Institute of Transport and Logistics Studies (ITLS) at The University of Sydney Business School. John M. Rose was previously Professor of Transport and Logistics Modelling at the Institute of Transport and Logistics Studies (ITLS) at the University of Sydney Business School and moved to The University of South Australia as co-director of the Institute for Choice in early March 2014. William H. Greene is the Robert Stansky Professor of Economics at the Stern School of Business, New York University.

Preface; Part I. Getting Started: 1. In the beginning; 2. Choosing; 3. Choice and utility; 4. Families of discrete choice models; 5. Estimating discrete choice models; 6. Experimental design and choice experiments; 7. Statistical inference; 8. Other matters that analysts often inquire about; Part II. Software and Data: 9. Nlogit for applied choice analysis; 10. Data set up for Nlogit; Part III. The Suite of Choice Models: 11. Getting started modeling: the workhorse - multinominal logit; 12. Handling unlabeled discrete choice data; 13. Getting more from your model; 14. Nested logit estimation; 15. Mixed logit estimation; 16. Latent class models; 17. Binary choice models; 18. Ordered choices; 19. Combining sources of data; Part IV. Advanced Topics: 20. Frontiers of choice analysis; 21. Attribute processing, heuristics, and preference construction; 22. Group decision making; Select glossary; References; Index.