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1. Introduction
2. Unit-level data
3. Economic models
4. Solution - auxiliary function
5. Logit and probit models
6. Linear utility contours and budget
7. Choice probabilities
8. Logit choice probabilities
9. Principle number 1
10. Multinomial probit model
11. Differenced system
12. Estimating the differenced system
13. Identification problems in differenced system
14. Likelihood for mnp model
15. Conditional normal distribution
16. Drawing w
17. Identification issues
18. Principle number 2
19. Nested logit model
20. Outside goods
21. Superior and normal goods
22. Non-homothetic utility contours
23. Utility functions - demand for variety
24. Displacement parameters
25. Utility contours with diminishing marginal returns
26. Kuhn-Tucker conditions for satiation
27. Likelihood for satiation
28. Complements and attributes models
29. Principle number 3
30. Multivariate probit model
31. Estimating the multivariate probit model
32. Scotch data (1)
33. Scotch data (2)
34. Time series plot of normalized draws of beta
35. Scotch data - posterior marginal distributions
36. Scotch data - means and std. deviations
37. Component loadings
38. Summary

Topics Covered

• Economic models
• Logit and probit models
• Linear utility, contours and budget
• Choice probabilities
• Multinomial probit models
• Differenced system
• Conditional normal distribution
• Identification issues
• Superior and normal goods
• Displacement parameters
• Kuhn-Tucker conditions for satiation
• Estimating the multivariate probit model
• Component loadings

Links

Series:

• Bayesian Analysis in Marketing

Categories:

• Marketing & Sales

Talk Citation

Publication History

• Published on January 27, 2010