Applied choice analysis / David A Hensher, John M Rose and William H Greene.

Includes bibliographical references and index.

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.

A fully updated second edition of this popular introduction to applied choice analysis, written for graduate students, researchers, professionals and consultants.