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Printable Handouts
Navigable Slide Index
- Introduction
- Agenda
- Conjoint/choice analysis: essential background
- Practical applications
- Individual-level vs. aggregate analysis
- Overfitting and conjoint analysis
- A two-week part-worth estimation program
- Early papers
- Why did HB work for ratings-based conjoint?
- Improvement for ratings-based conjoint
- Analysis of choice data
- IIA
- Example of IIA
- IIA and levels of aggregation
- How does HB reduce IIA problems? (1)
- How does HB reduce IIA problems? (2)
- What about interaction effects?
- What about distributions?
- Why did HB work for choice-based conjoint?
- Revolutionary benefit for choice-based conjoint
- Draws
- Useful methods of market simulation
- Draws vs. RFC
- Why do we care about tuning for scale
- Shrinkage
- Problems with shrinkage
- Covariates in HB
- Monotonicity constraints (utility constraints)
- Operationalizing constraints
- To constrain or not to constrain
- Uninformative priors?
- Coding categorical attributes
- Problems in the posteriors
- Solutions
- Dummy coding
- Effects coding
- Thank you
Topics Covered
- Introduction to conjoint/choice analysis
- How HB has improved ratings-based conjoint methods
- Why HB has particularly benefited choice-based models
- Market simulation issues including IIA
- Practical considerations such as utility constraints and using proper priors
Talk Citation
Orme, B.K. (2010, January 27). The value of HB in conjoint/choice analysis [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved November 14, 2024, from https://doi.org/10.69645/TGFJ5658.Export Citation (RIS)