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Printable Handouts
Navigable Slide Index
- Introduction
- Offerings and features of digital cameras
- Attribute based consideration or choice sets
- Screening out unacceptable alternatives
- Two-stage choice model and methodology
- Outline of the talk
- Considering the standard discrete choice model
- Methods for modeling consideration sets (1)
- Methods for modeling consideration sets (2)
- Data augmentation
- Data augmentation and choice sets
- What does this mean?
- How does this work?
- Key elements of the model
- Alternative screening rules
- Gamma determines the levels and attributes
- Empirical application
- Alternatives are described on 8 attributes
- Empirical application: models and results
- Part-worths from probit and conjunctive models
- Proportion screening on each attribute
- Distribution of price threshold
- Summary
- Discussion
- Extensions
- 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
Talk Citation
Gilbride, T.J. (2010, January 27). A Bayesian approach to attribute based consideration sets [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved December 5, 2024, from https://doi.org/10.69645/MYHH5726.Export Citation (RIS)
Publication History
A Bayesian approach to attribute based consideration sets
Published on January 27, 2010
45 min