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Navigable Slide Index

1. Introduction
2. Offerings and features of digital cameras
3. Attribute based consideration or choice sets
4. Screening out unacceptable alternatives
5. Two-stage choice model and methodology
6. Outline of the talk
7. Considering the standard discrete choice model
8. Methods for modeling consideration sets (1)
9. Methods for modeling consideration sets (2)
10. Data augmentation
11. Data augmentation and choice sets
12. What does this mean?
13. How does this work?
14. Key elements of the model
15. Alternative screening rules
16. Gamma determines the levels and attributes
17. Empirical application
18. Alternatives are described on 8 attributes
19. Empirical application: models and results
20. Part-worths from probit and conjunctive models
21. Proportion screening on each attribute
22. Distribution of price threshold
23. Summary
24. Discussion
25. Extensions
26. Additional references

Topics Covered

• The consumer decision problem and two stage decision rules
• Discrete choice models and consideration sets
• Using data augmentation and MCMC methods to model consideration sets
• Alternative screening rules and how to operationalize them
• An empirical application
• Summary and extensions

Links

Series:

• Bayesian Analysis in Marketing

Categories:

• Marketing & Sales

Talk Citation

Publication History

• Published on January 27, 2010