Applied Choice Analysis: A Primer

by David A. Hensher , John M. Rose , William H. Greene

• ISBN13: 9780521605779
• ISBN10: 0521605776
• Format: Paperback
• Copyright: 2005-08-29
• Publisher: Cambridge University Press

Summary

Almost without exception, everything human beings undertake involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding both of how choices are made and of forecasting future choice responses. In this primer the authors provide an unintimidating introduction to the main techniques of choice analysis and include detail on themes such as data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website to the book provides practice data sets and software to estimate the main discrete choice models such as multinomial logit, nested logit and mixed logit. This primer will be an invaluable resource to students as well as of immense value to consultants and professionals, researchers and anyone else interested in choice analysis and modelling.

Table of Contents

Preface

1. In the beginning

2. Basic notations of statistics

3. Choosing

4. Paradigms of choice data

5. Processes in setting up stated choice experiments

6. Choices in data collection

7. Nlogit for applied choice analysis: a primer

8. Handling choice data

9. Case study: model choice data

10. Getting started modelling: the workhorse - MNL

11. Getting more from your model

12. Practical issues in the application of choice models

13. Allowing for similarity of alternatives

14. Nested logit estimation

15. The mixed logit model

16. Mixed logit estimation

Nlogit terms and commands

References

Index.