Foundations of Stated Preference Elicitation (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
144
Utgivningsdatum
2019-01-28
Förlag
now publishers Inc
Medarbetare
McFadden, Daniel / Train, Kenneth
Illustrationer
Black & white illustrations
Dimensioner
234 x 156 x 9 mm
Vikt
232 g
Antal komponenter
1
Komponenter
49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam
ISBN
9781680835267

Foundations of Stated Preference Elicitation

Consumer Behavior and Choice-based Conjoint Analysis

av Moshe Ben-Akiva, Daniel McFadden, Kenneth Train
Häftad,  Engelska, 2019-01-28
1301
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Foundations of Stated Preferences Elicitation provides the reader with stated preference data collection methods, discrete choice models, and statistical analysis tools that can be used to forecast demand and assess welfare impacts for new or modified products or services in real markets, and summarize the conditions under which the reliability of these methods has been demonstrated or can be tested. One focus is the collection of preference and related data from consumer responses in hypothetical choice experiments, particularly conjoint analysis methods that have proven useful in market research. Another is the economic theory and statistical analysis of choice behavior, revealed or stated, and an economic framework for forecasting market demand and measuring consumer welfare. The treatment is informed by and benefits from experiments on perceptions and decision-making behavior in cognitive science and behavioral economics, and includes methods that can accommodate features of consumer choice that impact forecast reliability such as anchoring, adaptation to the status quo, and sensitivity to context. However, the authors' emphasis is on forecasting tools developed from traditional economic consumer theory and does not touch on the implications of behavioral consumer theory for demand forecasting.
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Innehållsförteckning

Preface 1. Some History of Stated Preference Elicitation 2. Choice-Based Conjoint (CBC) Analysis 3. Choice Behavior 4. Choice Model Estimation and Forecasting with CBC Data 5. Maximum Simulated Likelihood (MSL) Analysis of CBC Data 6. Hierarchical Bayes Estimation 7. An Empirical CBC Study Using MSL and HB Methods 8. An Application with Inter and Intra-consumer Heterogeneity 9. Policy Analysis 10. Conclusions Appendix Acknowledgements References

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